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2011


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Visual orientation and direction selectivity through thalamic synchrony

Kelly, S., Stanley, G., Jin, J., Wang, Y., Desbordes, G., Wang, Q., Black, M., Alonso, J.

2011 Abstract Viewer and Itinerary Planner, Society for Neuroscience, 2011, Online (conference)

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[BibTex]

2011


[BibTex]


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Use of the BrainGate neural inteface system for more than five years by a woman with tetraplegia

Hochberg, L., Bacher, D., Barefoot, L., Berhanu, E., Black, M., Cash, S., Feldman, J., Gallivan, E., Homer, M., Jarosiewicz, B., King, B., Liu, J., Malik, W., Masse, N., Berge, J., Rosler, D., Schmansky, N., Simeral, J., Travers, B., Truccolo, W., Donoghue, J.

2011 Abstract Viewer and Itinerary Planner, Society for Neuroscience, 2011, Onine (conference)

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[BibTex]

[BibTex]


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Extracting 3D Structures from Biomedical Data

Xianghua Xie, Si Yong Yeo, Igor Sazonov, Perumal Nithiarasu

Proceedings of the 5th International Conference on Bioinformatics and Biomedical Engineering, 2011 (conference)

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[BibTex]

[BibTex]


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Model-Based Pose Estimation

Pons-Moll, G., Rosenhahn, B.

In Visual Analysis of Humans: Looking at People, pages: 139-170, 9, (Editors: T. Moeslund, A. Hilton, V. Krueger, L. Sigal), Springer, 2011 (inbook)

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book page pdf [BibTex]

book page pdf [BibTex]


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Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model

Panagopoulos, A., Wang, C., Samaras, D., Paragios, N.

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (inproceedings)

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pdf [BibTex]

pdf [BibTex]


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Pose-invariant 3D Proximal Femur Estimation through Bi-Planar Image Segmentation with Hierarchical Higher-Order Graph-based Priors

Wang, C., Boussaid, H., Simon, L., Lazennec, J., Paragios, N.

In International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011 (inproceedings)

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pdf [BibTex]

pdf [BibTex]


Thumb xl sufacetracking cvpr11
Intrinsic Dense 3D Surface Tracking

Zeng, Y., Wang, C., Wang, Y., Gu, X., Samaras, D., Paragios, N.

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (inproceedings)

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pdf [BibTex]

pdf [BibTex]


Thumb xl emmcvpr2012
Data-Driven Importance Distributions for Articulated Tracking

Soren Hauberg, Kim S. Pedersen

In Energy Minimization Methods in Computer Vision and Pattern Recognition, 6819, pages: 287-299, Lecture Notes in Computer Science, (Editors: Boykov, Yuri and Kahl, Fredrik and Lempitsky, Victor and Schmidt, Frank), Springer Berlin Heidelberg, 2011 (inproceedings)

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Publishers site Code PDF Suppl. material [BibTex]

Publishers site Code PDF Suppl. material [BibTex]


Thumb xl kdcv2011 teaser
A Physically Natural Metric for Human Motion and the Associated Brownian Motion Model

Soren Hauberg, Kim Steenstrup Pedersen

In 1st IEEE Workshop on Kernels and Distances for Computer Vision (ICCV workshop), 2011 (inproceedings)

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Workshop link [BibTex]

Workshop link [BibTex]


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Virtual Visual Servoing for Real-Time Robot Pose Estimation

Gratal, X., Romero, J., Kragic, D.

In International Federation of Automatic Control World Congress, IFAC, 2011 (inproceedings)

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Pdf [BibTex]

Pdf [BibTex]


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Cooperative Localization Based on Visually Shared Objects

Lima, P., Santos, P., Oliveira, R., Ahmad, A., Santos, J.

In RoboCup 2010: Robot Soccer World Cup XIV, pages: 350-361, Lecture Notes in Computer Science ; 6556, Springer, Berlin, Germany, 14th Annual RoboCup International Symposium, 2011 (inproceedings)

Abstract
In this paper we describe a cooperative localization algorithm based on a modification of the Monte Carlo Localization algorithm where, when a robot detects it is lost, particles are spread not uniformly in the state space, but rather according to the information on the location of an object whose distance and bearing is measured by the lost robot. The object location is provided by other robots of the same team using explicit (wireless) communication. Results of application of the method to a team of real robots are presented.

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DOI [BibTex]

DOI [BibTex]


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Computational flow studies in a subject-specific human upper airway using a one-equation turbulence model. Influence of the nasal cavity

Prihambodo Saksono, Perumal Nithiarasu, Igor Sazonov, Si Yong Yeo

International Journal for Numerical Methods in Biomedical Engineering, 87(1-5):96–114, 2011 (article)

Abstract
This paper focuses on the impact of including nasal cavity on airflow through a human upper respiratory tract. A computational study is carried out on a realistic geometry, reconstructed from CT scans of a subject. The geometry includes nasal cavity, pharynx, larynx, trachea and two generations of airway bifurcations below trachea. The unstructured mesh generation procedure is discussed in some length due to the complex nature of the nasal cavity structure and poor scan resolution normally available from hospitals. The fluid dynamic studies have been carried out on the geometry with and without the inclusion of the nasal cavity. The characteristic-based split scheme along with the one-equation Spalart–Allmaras turbulence model is used in its explicit form to obtain flow solutions at steady state. Results reveal that the exclusion of nasal cavity significantly influences the resulting solution. In particular, the location of recirculating flow in the trachea is dramatically different when the truncated geometry is used. In addition, we also address the differences in the solution due to imposed, equally distributed and proportionally distributed flow rates at inlets (both nares). The results show that the differences in flow pattern between the two inlet conditions are not confined to the nasal cavity and nasopharyngeal region, but they propagate down to the trachea.

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[BibTex]

[BibTex]


Thumb xl sufacematching ssvm11
Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching

Wang, C., Bronstein, M. M., Bronstein, A. M., Paragios, N.

In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2011 (inproceedings)

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pdf [BibTex]

pdf [BibTex]


Thumb xl viewpointinvariantmodel iccv11.
Viewpoint Invariant 3D Landmark Model Inference from Monocular 2D Images Using Higher-Order Priors

Wang, C., Zeng, Y., Simon, L., Kakadiaris, I., Samaras, D., Paragios, N.

In IEEE International Conference on Computer Vision (ICCV), 2011 (inproceedings)

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pdf [BibTex]

pdf [BibTex]


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Correspondence estimation from non-rigid motion information

Wulff, J., Lotz, T., Stehle, T., Aach, T., Chase, J. G.

In Proc. SPIE, (Editors: B. M. Dawant, D. R. Haynor), SPIE, Medical Imaging: Image Processing, 2011 (inproceedings)

Abstract
The DIET (Digital Image Elasto Tomography) system is a novel approach to screen for breast cancer using only optical imaging information of the surface of a vibrating breast. 3D tracking of skin surface motion without the requirement of external markers is desirable. A novel approach to establish point correspondences using pure skin images is presented here. Instead of the intensity, motion is used as the primary feature, which can be extracted using optical flow algorithms. Taking sequences of multiple frames into account, this motion information alone is accurate and unambiguous enough to allow for a 3D reconstruction of the breast surface. Two approaches, direct and probabilistic, for this correspondence estimation are presented here, suitable for different levels of calibration information accuracy. Reconstructions show that the results obtained using these methods are comparable in accuracy to marker-based methods while considerably increasing resolution. The presented method has high potential in optical tissue deformation and motion sensing.

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pdf link (url) DOI [BibTex]

pdf link (url) DOI [BibTex]


Thumb xl ijcv2012
Predicting Articulated Human Motion from Spatial Processes

Soren Hauberg, Kim S. Pedersen

International Journal of Computer Vision, 94, pages: 317-334, Springer Netherlands, 2011 (article)

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Publishers site Code Paper site PDF [BibTex]

Publishers site Code Paper site PDF [BibTex]


Thumb xl icann2011
An Empirical Study on the Performance of Spectral Manifold Learning Techniques

Peter Mysling, Soren Hauberg, Kim S. Pedersen

In Artificial Neural Networks and Machine Learning – ICANN 2011, 6791, pages: 347-354, Lecture Notes in Computer Science, (Editors: Honkela, Timo and Duch, Włodzisław and Girolami, Mark and Kaski, Samuel), Springer Berlin Heidelberg, 2011 (inproceedings)

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Publishers site PDF [BibTex]

Publishers site PDF [BibTex]


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Separation of visual object features and grasp strategy in primate ventral premotor cortex

Vargas-Irwin, C., Franquemont, L., Black, M., Donoghue, J.

Neural Control of Movement, 21st Annual Conference, 2011 (conference)

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[BibTex]

[BibTex]

2010


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Lack of Discriminatory Function for Endoscopy Skills on a Computer-based Simulator

Kim, S., Spencer, G., Makar, G., Ahmad, N., Jaffe, D., Ginsberg, G., Kuchenbecker, K. J., Kochman, M.

Surgical Endoscopy, 24(12):3008-3015, December 2010 (article)

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[BibTex]

2010


[BibTex]


Thumb xl screen shot 2012 12 01 at 2.37.12 pm
Visibility Maps for Improving Seam Carving

Mansfield, A., Gehler, P., Van Gool, L., Rother, C.

In Media Retargeting Workshop, European Conference on Computer Vision (ECCV), september 2010 (inproceedings)

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webpage pdf slides supplementary code [BibTex]

webpage pdf slides supplementary code [BibTex]


Thumb xl eigenclothingimagesmall2
A 2D human body model dressed in eigen clothing

Guan, P., Freifeld, O., Black, M. J.

In European Conf. on Computer Vision, (ECCV), pages: 285-298, Springer-Verlag, September 2010 (inproceedings)

Abstract
Detection, tracking, segmentation and pose estimation of people in monocular images are widely studied. Two-dimensional models of the human body are extensively used, however, they are typically fairly crude, representing the body either as a rough outline or in terms of articulated geometric primitives. We describe a new 2D model of the human body contour that combines an underlying naked body with a low-dimensional clothing model. The naked body is represented as a Contour Person that can take on a wide variety of poses and body shapes. Clothing is represented as a deformation from the underlying body contour. This deformation is learned from training examples using principal component analysis to produce eigen clothing. We find that the statistics of clothing deformations are skewed and we model the a priori probability of these deformations using a Beta distribution. The resulting generative model captures realistic human forms in monocular images and is used to infer 2D body shape and pose under clothing. We also use the coefficients of the eigen clothing to recognize different categories of clothing on dressed people. The method is evaluated quantitatively on synthetic and real images and achieves better accuracy than previous methods for estimating body shape under clothing.

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pdf data poster Project Page [BibTex]

pdf data poster Project Page [BibTex]


Thumb xl teaser eccvw
Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors

Baak, A., Helten, T., Müller, M., Pons-Moll, G., Rosenhahn, B., Seidel, H.

In European Conference on Computer Vision (ECCV Workshops), September 2010 (inproceedings)

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pdf [BibTex]

pdf [BibTex]


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Trainable, Vision-Based Automated Home Cage Behavioral Phenotyping

Jhuang, H., Garrote, E., Edelman, N., Poggio, T., Steele, A., Serre, T.

In Measuring Behavior, August 2010 (inproceedings)

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pdf [BibTex]

pdf [BibTex]


Thumb xl graspimagesmall
Decoding complete reach and grasp actions from local primary motor cortex populations

(Featured in Nature’s Research Highlights (Nature, Vol 466, 29 July 2010))

Vargas-Irwin, C. E., Shakhnarovich, G., Yadollahpour, P., Mislow, J., Black, M. J., Donoghue, J. P.

J. of Neuroscience, 39(29):9659-9669, July 2010 (article)

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pdf pdf from publisher Movie 1 Movie 2 Project Page [BibTex]

pdf pdf from publisher Movie 1 Movie 2 Project Page [BibTex]


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VerroTouch: High-Frequency Acceleration Feedback for Telerobotic Surgery

Kuchenbecker, K. J., Gewirtz, J., McMahan, W., Standish, D., Martin, P., Bohren, J., Mendoza, P. J., Lee, D. I.

Hands-on demonstration presented at EuroHaptics, Amsterdam, Netherlands, Amsterdam, Netherlands, July 2010 (misc)

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[BibTex]

[BibTex]


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TexturePad: Realistic Rendering of Haptic Textures

Romano, J. M., Landin, N., McMahan, W., Kuchenbecker, K. J.

Hands-on demonstration presented at EuroHaptics, Amsterdam, Netherlands, July 2010 (misc)

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[BibTex]

[BibTex]


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VerroTouch: High-Frequency Acceleration Feedback for Telerobotic Surgery

Kuchenbecker, K. J., Gewirtz, J., McMahan, W., Standish, D., Martin, P., Bohren, J., Mendoza, P. J., Lee, D. I.

In Haptics: Generating and Perceiving Tangible Sensations, Proc. EuroHaptics, Part I, 6191, pages: 189-196, Lecture Notes in Computer Science, Springer, Amsterdam, Netherlands, July 2010, Oral presentation given by Kuchenbecker (inproceedings)

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[BibTex]

[BibTex]


Thumb xl teaser cvpr2010
Multisensor-Fusion for 3D Full-Body Human Motion Capture

Pons-Moll, G., Baak, A., Helten, T., Müller, M., Seidel, H., Rosenhahn, B.

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2010 (inproceedings)

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project page pdf [BibTex]

project page pdf [BibTex]


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Coded exposure imaging for projective motion deblurring

Tai, Y., Kong, N., Lin, S., Shin, S. Y.

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages: 2408-2415, June 2010 (inproceedings)

Abstract
We propose a method for deblurring of spatially variant object motion. A principal challenge of this problem is how to estimate the point spread function (PSF) of the spatially variant blur. Based on the projective motion blur model of, we present a blur estimation technique that jointly utilizes a coded exposure camera and simple user interactions to recover the PSF. With this spatially variant PSF, objects that exhibit projective motion can be effectively de-blurred. We validate this method with several challenging image examples.

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Publisher site [BibTex]

Publisher site [BibTex]


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Tracking people interacting with objects

Kjellstrom, H., Kragic, D., Black, M. J.

In IEEE Conf. on Computer Vision and Pattern Recognition, CVPR, pages: 747-754, June 2010 (inproceedings)

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pdf Video [BibTex]

pdf Video [BibTex]


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Contour people: A parameterized model of 2D articulated human shape

Freifeld, O., Weiss, A., Zuffi, S., Black, M. J.

In IEEE Conf. on Computer Vision and Pattern Recognition, (CVPR), pages: 639-646, IEEE, June 2010 (inproceedings)

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pdf slides video of CVPR talk Project Page [BibTex]

pdf slides video of CVPR talk Project Page [BibTex]


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Secrets of optical flow estimation and their principles

Sun, D., Roth, S., Black, M. J.

In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pages: 2432-2439, IEEE, June 2010 (inproceedings)

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pdf Matlab code code copryright notice [BibTex]

pdf Matlab code code copryright notice [BibTex]


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Identifying the Role of Proprioception in Upper-Limb Prosthesis Control: Studies on Targeted Motion

Blank, A., Okamura, A. M., Kuchenbecker, K. J.

ACM Transactions on Applied Perception, 7(3):1-23, June 2010 (article)

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[BibTex]

[BibTex]


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Automatic Filter Design for Synthesis of Haptic Textures from Recorded Acceleration Data

Romano, J. M., Yoshioka, T., Kuchenbecker, K. J.

In Proc. IEEE International Conference on Robotics and Automation, pages: 1815-1821, Anchorage, Alaska, USA, May 2010, Oral presentation given by Romano (inproceedings)

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[BibTex]

[BibTex]


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Control of a High Fidelity Ungrounded Torque Feedback Device: The iTorqU 2.1

Winfree, K. N., Romano, J. M., Gewirtz, J., Kuchenbecker, K. J.

In Proc. IEEE International Conference on Robotics and Automation, pages: 1347-1352, Anchorage, Alaska, May 2010, Oral presentation given by Winfree (inproceedings)

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[BibTex]

[BibTex]


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Realistic Haptic Contacts and Textures for Tablet Computing

Romano, J. M., Kuchenbecker, K. J.

Hands-on demonstration presented at the Stanford Medical Innovation Conference on Medical Robotics, Stanford, California, April 2010 (misc)

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[BibTex]

[BibTex]


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High-Frequency Tactile Feedback for the da Vinci Surgical System

Standish, D., Gewirtz, J., McMahan, W., Martin, P., Kuchenbecker, K. J.

Hands-on demonstration presented at the Stanford Medical Innovation Conference on Medical Robotics, April 2010 (misc)

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[BibTex]

[BibTex]


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Guest editorial: State of the art in image- and video-based human pose and motion estimation

Sigal, L., Black, M. J.

International Journal of Computer Vision, 87(1):1-3, March 2010 (article)

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pdf from publisher [BibTex]

pdf from publisher [BibTex]


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High-Frequency Tactile Feedback for the da Vinci Surgical System

Standish, D., Gewirtz, J., McMahan, W., Martin, P., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, March 2010 (misc)

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[BibTex]

[BibTex]


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The Haptic Board

Jiang, Z., Bhoite, M., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, USA, March 2010 (misc)

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[BibTex]

[BibTex]


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High Frequency Acceleration Feedback Significantly Increases the Realism of Haptically Rendered Textured Surfaces

McMahan, W., Romano, J. M., Rahuman, A. M. A., Kuchenbecker, K. J.

In Proc. IEEE Haptics Symposium, pages: 141-148, Waltham, Massachusetts, March 2010, Oral presentation given by McMahan (inproceedings)

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[BibTex]

[BibTex]


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Spatially distributed tactile feedback for kinesthetic motion guidance

Kapur, P., Jensen, M., Buxbaum, L. J., Jax, S. A., Kuchenbecker, K. J.

In Proc. IEEE Haptics Symposium, pages: 519-526, Waltham, Massachusetts, USA, March 2010, Poster presentation given by Kapur. {F}inalist for Best Poster Award (inproceedings)

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[BibTex]

[BibTex]


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HumanEva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion

Sigal, L., Balan, A., Black, M. J.

International Journal of Computer Vision, 87(1):4-27, Springer Netherlands, March 2010 (article)

Abstract
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing methods to establish the current state of the art. We present data obtained using a hardware system that is able to capture synchronized video and ground-truth 3D motion. The resulting HumanEva datasets contain multiple subjects performing a set of predefined actions with a number of repetitions. On the order of 40,000 frames of synchronized motion capture and multi-view video (resulting in over one quarter million image frames in total) were collected at 60 Hz with an additional 37,000 time instants of pure motion capture data. A standard set of error measures is defined for evaluating both 2D and 3D pose estimation and tracking algorithms. We also describe a baseline algorithm for 3D articulated tracking that uses a relatively standard Bayesian framework with optimization in the form of Sequential Importance Resampling and Annealed Particle Filtering. In the context of this baseline algorithm we explore a variety of likelihood functions, prior models of human motion and the effects of algorithm parameters. Our experiments suggest that image observation models and motion priors play important roles in performance, and that in a multi-view laboratory environment, where initialization is available, Bayesian filtering tends to perform well. The datasets and the software are made available to the research community. This infrastructure will support the development of new articulated motion and pose estimation algorithms, will provide a baseline for the evaluation and comparison of new methods, and will help establish the current state of the art in human pose estimation and tracking.

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pdf pdf from publisher [BibTex]

pdf pdf from publisher [BibTex]


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Tactile Gaming Vest (TGV)

Palan, S., Wang, R., Naukam, N., Li, E., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, March 2010 (misc)

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[BibTex]

[BibTex]


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Realistic Haptic Contacts and Textures for Tablet Computing

Romano, J. M., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, March 2010, {B}est Teaser Award (misc)

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[BibTex]

[BibTex]


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GPU-Based Haptic Rendering of 3D Smoke

Yang, M., Lu, J., Safonova, A., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, March 2010 (misc)

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[BibTex]

[BibTex]


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Dimensional Reduction of High-Frequency Accelerations for Haptic Rendering

Landin, N., Romano, J. M., McMahan, W., Kuchenbecker, K. J.

In Haptics: Generating and Perceiving Tangible Sensations: Part II (Proceedings of EuroHaptics), 6192, pages: 79-86, Lecture Notes in Computer Science, Springer, Amsterdam, Netherlands, 2010, Poster presentation given by Landin (inproceedings)

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[BibTex]

[BibTex]


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Modellbasierte Echtzeit-Bewegungsschätzung in der Fluoreszenzendoskopie

Stehle, T., Wulff, J., Behrens, A., Gross, S., Aach, T.

In Bildverarbeitung für die Medizin, 574, pages: 435-439, CEUR Workshop Proceedings, Bildverarbeitung für die Medizin, 2010 (inproceedings)

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pdf [BibTex]

pdf [BibTex]


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VerroTouch: A Vibrotactile Feedback System for Minimally Invasive Robotic Surgery

Kuchenbecker, K. J., Gewirtz, J., McMahan, W., Standish, D., Bohren, J., Martin, P., Wedmid, A., Mendoza, P. J., Lee, D. I.

In Proc. 28th World Congress of Endourology, 2010, PS8-14. Poster presentation given by Wedmid (inproceedings)

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[BibTex]

[BibTex]


Thumb xl acva2010
Robust one-shot 3D scanning using loopy belief propagation

Ulusoy, A., Calakli, F., Taubin, G.

In Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on, pages: 15-22, IEEE, 2010 (inproceedings)

Abstract
A structured-light technique can greatly simplify the problem of shape recovery from images. There are currently two main research challenges in design of such techniques. One is handling complicated scenes involving texture, occlusions, shadows, sharp discontinuities, and in some cases even dynamic change; and the other is speeding up the acquisition process by requiring small number of images and computationally less demanding algorithms. This paper presents a “one-shot” variant of such techniques to tackle the aforementioned challenges. It works by projecting a static grid pattern onto the scene and identifying the correspondence between grid stripes and the camera image. The correspondence problem is formulated using a novel graphical model and solved efficiently using loopy belief propagation. Unlike prior approaches, the proposed approach uses non-deterministic geometric constraints, thereby can handle spurious connections of stripe images. The effectiveness of the proposed approach is verified on a variety of complicated real scenes.

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pdf link (url) DOI [BibTex]

pdf link (url) DOI [BibTex]