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CVPR
2007
IEEE
14 years 7 months ago
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
We present a parameter free approach that utilizes multiple cues for image segmentation. Beginning with an image, we execute a sequence of bottom-up aggregation steps in which pix...
Sharon Alpert, Meirav Galun, Ronen Basri, Achi Bra...
ICCV
2007
IEEE
14 years 7 months ago
Learning to Find Object Boundaries Using Motion Cues
While great strides have been made in detecting and localizing specific objects in natural images, the bottom-up segmentation of unknown, generic objects remains a difficult chall...
Andrew N. Stein, Derek Hoiem, Martial Hebert
CVPR
2000
IEEE
13 years 10 months ago
Multiscale Combination of Physically-Based Registration and Deformation Modeling
1 In this paper we present a novel multiscale approach to recovery of nonrigid motion from sequences of registered intensity and range images. The main idea of our approach is that...
Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar
ICCV
2003
IEEE
14 years 7 months ago
Shape and Motion under Varying Illumination: Unifying Structure from Motion, Photometric Stereo, and Multi-view Stereo
This paper presents an algorithm for computing optical flow, shape, motion, lighting, and albedo from an image sequence of a rigidly-moving Lambertian object under distant illumin...
Li Zhang, Brian Curless, Aaron Hertzmann, Steven M...
CVPR
2001
IEEE
14 years 7 months ago
Object Based Segmentation of Video Using Color, Motion and Spatial Information
Video segmentation is different from segmentation of a single image. While several correct solutions may exist for segmenting a single image, there needs to be a consistency among...
Sohaib Khan, Mubarak Shah