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» Segmentation Using Multiscale Cues
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CVPR
2003
IEEE
16 years 1 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
CVPR
2007
IEEE
16 years 1 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
ECCV
2006
Springer
16 years 1 months ago
Incorporating Non-motion Cues into 3D Motion Segmentation
We address the problem of segmenting an image sequence into rigidly moving 3D objects. An elegant solution to this problem is the multibody factorization approach in which the mea...
Amit Gruber, Yair Weiss
CVPR
2006
IEEE
15 years 6 months ago
Perceptually-Inspired and Edge-Directed Color Image Super-Resolution
Inspired by multi-scale tensor voting, a computational framework for perceptual grouping and segmentation, we propose an edge-directed technique for color image superresolution gi...
Yu-Wing Tai, Wai-Shun Tong, Chi-Keung Tang
144
Voted
CVPR
2009
IEEE
16 years 7 months ago
Learning color and locality cues for moving object detection and segmentation
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...