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» Level Set Methods for Watershed Image Segmentation
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ECCV
2006
Springer
14 years 10 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
PAMI
2008
198views more  PAMI 2008»
13 years 8 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
MVA
1998
162views Computer Vision» more  MVA 1998»
13 years 8 months ago
Multipass hierarchical stereo matching for generation of digital terrain models from aerial images
Abstract. This paper presents a new multi-pass hierarchical stereo-matching approach for generation of digital terrain models (DTMs) from two overlapping aerial images. Our method ...
Yi-Ping Hung, Chu-Song Chen, Kuan-Chung Hung, Yong...
IJDAR
2006
245views more  IJDAR 2006»
13 years 8 months ago
Object count/area graphs for the evaluation of object detection and segmentation algorithms
Evaluation of object detection algorithms is a non-trivial task: a detection result is usually evaluated by comparing the bounding box of the detected object with the bounding box...
Christian Wolf, Jean-Michel Jolion
ACCV
2006
Springer
14 years 2 months ago
Minimal Weighted Local Variance as Edge Detector for Active Contour Models
Performing segmentation of narrow, elongated structures with low contrast boundaries is a challenging problem. Boundaries of these structures are difficult to be located when noise...
Max W. K. Law, Albert C. S. Chung