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» Toward Objective Evaluation of Image Segmentation Algorithms
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CVPR
2010
IEEE
15 years 8 months ago
Asymmetric Region-to-Image Matching for Comparing Images with Generic Object Categories
We present a feature matching algorithm that leverages bottom-up segmentation. Unlike conventional image-toimage or region-to-region matching algorithms, our method finds corresp...
Jaechul Kim, Kristen Grauman
CRV
2008
IEEE
116views Robotics» more  CRV 2008»
15 years 7 months ago
Segmentation of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image
We describe a method to segment rectangular objects that lie on a slightly textured background of an a-priori unknown colour. Our contribution consists of a fast and accurate back...
Michael Guerzhoy, Hui Zhou
130
Voted
ISMM
2011
Springer
14 years 3 months ago
Towards a Parallel Topological Watershed: First Results
Abstract. In this paper we present a parallel algorithm for the topological watershed, suitable for a shared memory parallel architecture. On a 24-core machine an average speed-up ...
Joël van Neerbos, Laurent Najman, Michael H. ...
AVSS
2008
IEEE
15 years 2 months ago
Evaluation of Background Subtraction Algorithms with Post-Processing
Processing a video stream to segment foreground objects from the background is a critical first step in many computer vision applications. Background subtraction (BGS) is a common...
Donovan H. Parks, Sidney Fels
CVPR
2008
IEEE
16 years 2 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum