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» Estimating Human Pose from Occluded Images
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CVPR
2012
IEEE
13 years 8 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...
CVPR
2010
IEEE
15 years 6 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ICIP
2009
IEEE
16 years 7 months ago
Learning Local Models For 2d Human Motion Tracking
We present a novel approach to tracking 2D human motion in uncalibrated monocular videos. Human motion usually exhibits timevarying patterns, and we propose to use locally learnt ...
DAGM
2009
Springer
15 years 7 months ago
Depth Imaging by Combining Time-of-Flight and On-Demand Stereo
In this paper we present a framework for computing depth images at interactive rates. Our approach is based on combining time-of-flight (TOF) range data with stereo vision. We use ...
Uwe Hahne, Marc Alexa
ISBI
2008
IEEE
16 years 6 months ago
Adaptive non-rigid registration of 3D knee MRI in different pose spaces
Volume registration of articulated subjects such as the human knee region requires novel methods to accommodate the wide range of movement resulting from skeletal joint rotations....
Taehyun Rhee, John P. Lewis, Krishna Nayak, Ulrich...