Sciweavers

ICCV
2001
IEEE
14 years 12 months ago
Image Segmentation with Minimum Mean Cut
We introduce a new graph-theoretic approach to image segmentation based on minimizing a novel class of `mean cut' cost functions. Minimizing these cost functions corresponds ...
Song Wang, Jeffrey Mark Siskind
ICCV
2001
IEEE
14 years 12 months ago
Error Analysis of Pure Rotation-Based Self-Calibration
Self-calibration using pure rotation is a well-known technique and has been shown to be a reliable means for recovering intrinsic camera parameters. However, in practice, it is vir...
Leslie Wang, Sing Bing Kang, Heung-Yeung Shum, Gua...
ICCV
2001
IEEE
14 years 12 months ago
Optimal Motion Estimation from Multiview Normalized Epipolar Constraint
In this paper, we study the structure from motion problem as a constrained nonlinear least squares problem which minimizes the so called reprojection error subject to all constrai...
René Vidal, Shankar Sastry, Shawn Hsu, Yi M...
ICCV
2001
IEEE
14 years 12 months ago
Robust Real-Time Face Detection
Paul A. Viola, Michael J. Jones
ICCV
2001
IEEE
14 years 12 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
14 years 12 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
14 years 12 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
14 years 12 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
14 years 12 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
14 years 12 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