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» Graph-Theoretical Methods in Computer Vision
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122
Voted
CVPR
2007
IEEE
16 years 2 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
88
Voted
ICCV
1999
IEEE
16 years 2 months ago
Photometric Surface Analysis in a Tri-Luminal Environment
Methods for the analysis of images of the same scene taken under three different lighting conditions are illustrated. A technique that separates the effects of geometry and surfac...
Elli Angelopoulou, James P. Williams
99
Voted
ECCV
2006
Springer
16 years 2 months ago
Tracking Objects Across Cameras by Incrementally Learning Inter-camera Colour Calibration and Patterns of Activity
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated, non-overlapping cameras. Unlike other approaches this technique...
Andrew Gilbert, Richard Bowden
113
Voted
ECCV
1994
Springer
16 years 2 months ago
Recursive Non-Linear Estimation of Discontinuous Flow Fields
Abstract. This paper de nes a temporal continuity constraint that expresses assumptions about the evolution of 2D image velocity, or optical ow, over a sequence of images. Temporal...
Michael J. Black
ICPR
2008
IEEE
16 years 1 months ago
Motion segmentation by consensus
We present a method for merging multiple partitions into a single partition, by minimising the ratio of pairwise agreements and contradictions between the equivalence relations cor...
Roberto Fraile, David C. Hogg, Anthony G. Cohn