105
Voted
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
Intrinsic images are a useful midlevel description of scenes proposed by Barrow and Tenenbaum [1]. An image is decomposed into two images: a reflectance image and an illumination ...
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
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 ...
128
Voted
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
110
click to vote
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
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...
108
Voted
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
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...
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
129
click to vote
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
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...
125
click to vote
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
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 ...
131
click to vote
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
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...
142
Voted
ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
?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...