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ICCV
2001
IEEE
10 years 8 months ago
Robust Real-Time Face Detection
Paul A. Viola, Michael J. Jones
ICCV
2001
IEEE
10 years 8 months ago
Sequential Monte Carlo Fusion of Sound and Vision for Speaker Tracking
Video telephony could be considerably enhanced by provision of a tracking system that allows freedom of movement to the speaker, while maintaining a well-framed image, for transmi...
Jaco Vermaak, Michel Gangnet, Andrew Blake, Patric...
ICCV
2001
IEEE
10 years 8 months ago
Stereo Matching by Compact Windows via Minimum Ratio Cycle
Window size and shape selection is a difficult problem in area based stereo. We propose an algorithm which chooses an appropriate window shape by optimizing over a large class of ...
Olga Veksler
ICCV
2001
IEEE
10 years 8 months ago
Flux Maximizing Geometric Flows
Several geometric active contour models have been proposed for segmentation in computer vision. The essential idea is to evolve a curve (in 2D) or a surface (in 3D) under constrai...
Alexander Vasilevskiy, Kaleem Siddiqi
ICCV
2001
IEEE
10 years 8 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
ICCV
2001
IEEE
10 years 8 months ago
Empirical Filter Estimation for Subpixel Interpolation and Matching
We study the low-level problem of predicting pixel intensities after subpixel image translations. This is a basic subroutine for image warping and super-resolution, and it has a c...
Bill Triggs
ICCV
2001
IEEE
10 years 8 months ago
Joint Feature Distributions for Image Correspondence
We introduce `Joint Feature Distributions', a general statistical framework for feature based multi-image matching that explicitly models the joint probability distributions ...
Bill Triggs
ICCV
2001
IEEE
10 years 8 months ago
Probabilistic Tracking in a Metric Space
Kentaro Toyama, Andrew Blake
ICCV
2001
IEEE
10 years 8 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
10 years 8 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
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