International Journal of Computer Vision
Reconstruction of articulated objects from point correspondences in a single uncalibrated image
Computer Vision and Image Understanding
Model-Based Recognition of 3D Objects from Single Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Estimating anthropometry and pose from a single uncalibrated image
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Specialized mappings and the estimation of human body pose from a single image
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
Towards Model-Based Capture of a Persons Shape, Appearance and Motion
MPEOPLE '99 Proceedings of the IEEE International Workshop on Modelling People
Estimating 3D Body Pose using Uncalibrated Cameras
Estimating 3D Body Pose using Uncalibrated Cameras
Inferring 3D Structure with a Statistical Image-Based Shape Model
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Kinematic jump processes for monocular 3D human tracking
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Handsignals Recognition From Video Using 3D Motion Capture Data
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Character animation from 2D pictures and 3D motion data
ACM Transactions on Graphics (TOG)
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Real-Time 3D Body Pose Tracking from Multiple 2D Images
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
View-Invariant Human Action Recognition Using Exemplar-Based Hidden Markov Models
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Real time body pose tracking in an immersive training environment
HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Advances in view-invariant human motion analysis: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
MovieReshape: tracking and reshaping of humans in videos
ACM SIGGRAPH Asia 2010 papers
Motion- and location-based online human daily activity recognition
Pervasive and Mobile Computing
Human 3D motion computation from a varying number of cameras
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Vision-Based posing of 3d virtual actors
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Efficient articulated trajectory reconstruction using dynamic programming and filters
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Reconstructing 3d human pose from 2d image landmarks
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Sketching human character animations by composing sequences from large motion database
The Visual Computer: International Journal of Computer Graphics
Computer Vision and Image Understanding
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Recovering the 3D coordinates of various joints of the human body from an image is a critical first step for several model-based human tracking and optical motion capture systems. Unlike previous approaches that have used a restrictive camera model or assumed a calibrated camera, our work deals with the general case of a perspective uncalibrated camera and is thus well suited for archived video. The input to the system is an image of the human body and correspondences of several body landmarks, while the output is the set of 3D coordinates of the landmarks in a body-centric coordinate system. Using ideas from 3D model based invariants, we set up a polynomial system of equations in the unknown head pitch, yaw and roll angles. If we are able to make the often-valid assumption that torso twist is small, we show that there exists a finite number of solutions to the head-orientation which can be computed readily. Once the head orientation is computed, the epipolar geometry of the camera is recovered, leading to solutions to the 3D joint positions. Results are presented on synthetic and real images.