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ICCV
2001
IEEE
14 years 11 months ago
Probabilistic Tracking in a Metric Space
Kentaro Toyama, Andrew Blake
ICCV
2001
IEEE
14 years 11 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
ICCV
2001
IEEE
14 years 11 months ago
Statistical Context Priming for Object Detection
There is general consensus that context can be a rich source of information about an object's identity, location and scale. However, the issue of how to formalize contextual ...
Antonio B. Torralba, Pawan Sinha
ICCV
2001
IEEE
14 years 11 months ago
Selecting Objects With Freehand Sketches
Kar-Han Tan, Narendra Ahuja
ICCV
2001
IEEE
14 years 11 months ago
Caustics of Catadioptric Cameras
Conventional vision systems and algorithms assume the camera to have a single viewpoint. However, sensors need not always maintain a single viewpoint. For instance, an incorrectly...
Rahul Swaminathan, Michael D. Grossberg, Shree K. ...
ICCV
2001
IEEE
14 years 11 months ago
Smarter Presentations: Exploiting Homography in Camera-Projector Systems
Rahul Sukthankar, Robert G. Stockton, Matthew D. M...
ICCV
2001
IEEE
14 years 11 months ago
Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations
Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, J...
ICCV
2001
IEEE
14 years 11 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
ICCV
2001
IEEE
14 years 11 months ago
Propagation of Innovative Information in Non-Linear Least-Squares Structure from Motion
We present a new technique that improves upon existing structure from motion (SFM) methods. We propose a SFM algorithm that is both recursive and optimal. Our method incorporates ...
Drew Steedly, Irfan A. Essa