<--- Back to Details
First PageDocument Content
Artificial intelligence / Computer vision / Vision / Conference on Computer Vision and Pattern Recognition / Pose / Pattern recognition / Regression analysis / Motion estimation / Kriging / Visual descriptor / Descriptor / Shape context
Date: 2010-07-25 04:16:40
Artificial intelligence
Computer vision
Vision
Conference on Computer Vision and Pattern Recognition
Pose
Pattern recognition
Regression analysis
Motion estimation
Kriging
Visual descriptor
Descriptor
Shape context

Discriminative Estimation of 3D Human Pose Using Gaussian Processes

Add to Reading List

Source URL: www.ifp.illinois.edu

Download Document from Source Website

File Size: 282,95 KB

Share Document on Facebook

Similar Documents

Homography / Computer vision / Motion estimation / Optical flow / Vision / Artificial intelligence / Mathematics

A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth and Optical Flow Estimation

DocID: 1xT9O - View Document

Motion Detail Preserving Optical Flow Estimation∗ Li Xu Jiaya Jia The Chinese University of Hong Kong Yasuyuki Matsushita

DocID: 1vl8N - View Document

Optimal shape from motion estimation with missing and degenerate data Manuel Marques and Jo˜ao Costeira Institute for Systems and Robotics - Instituto Superior T´ecnico Av. Rovisco PaisLisboa PORTUGAL {manu

DocID: 1v0Iv - View Document

1 A New Technique for the Estimation of Cardiac Motion in Echocardiography Based on Transverse Oscillations: a preliminary evaluation in silico and a feasibility demonstration in vivo

DocID: 1uQSE - View Document

Marker-less Human Motion Estimation using Articulated Deformable Model Koichi Ogawara and Xiaolu Li and Katsushi Ikeuchi Abstract— This paper presents a novel whole body motion estimation method by fitting a deformable

DocID: 1uHnw - View Document