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» Object Recognition Using Segmentation for Feature Detection
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133
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NPAR
2004
ACM
15 years 8 months ago
Hardware-determined feature edges
Algorithms that detect silhouettes, creases, and other edge based features often perform per-edge and per-face mesh computations using global adjacency information. These are unsu...
Morgan McGuire, John F. Hughes
CVPR
2005
IEEE
15 years 4 months ago
A Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
Guo Cao, Xin Yang, Zhihong Mao
122
Voted
FGCN
2008
IEEE
200views Communications» more  FGCN 2008»
15 years 9 months ago
Fast Method for Multiple Human Face Segmentation in Color Image
Face segmentation has been used in many different applications, such as face tracking, video surveillance in security control system and human computer interface. In this paper we...
Rudy Adipranata, Eddy, Cherry G. Ballangan, Ronald...
111
Voted
ICPR
2010
IEEE
15 years 15 days ago
A Baseline Dependent Approach for Persian Handwritten Character Segmentation
-- In this paper, an efficient approach to segment Persian off-line handwritten text-line into characters is presented. The proposed algorithm first traces the baseline of the inpu...
Alireza Alaei, P. Nagabhushan, Umapada Pal
PR
2006
77views more  PR 2006»
15 years 2 months ago
Preserving boundaries for image texture segmentation using grey level co-occurring probabilities
Texture analysis has been used extensively in the computer-assisted interpretation of digital imagery. A popular texture feature extraction approach is the grey level co-occurrenc...
Rishi Jobanputra, David A. Clausi