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CVPR
2012
IEEE
13 years 9 months ago
Semantic segmentation using regions and parts
We address the problem of segmenting and recognizing objects in real world images, focusing on challenging articulated categories such as humans and other animals. For this purpos...
Pablo Arbelaez, Bharath Hariharan, Chunhui Gu, Sau...
CVPR
2008
IEEE
16 years 8 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
HAPTICS
2005
IEEE
16 years 4 days ago
A Haptic Interaction Technique for Volume Images Based on Gradient Diffusion
The manual step in semi-automatic segmentation of medical volume images typically involves initialization procedures such as placement of seed-points or positioning of surface mod...
Erik Vidholm, Ingela Nyström
BILDMED
2006
170views Algorithms» more  BILDMED 2006»
15 years 8 months ago
Fully-Automated Analysis of Muscle Fiber Images with Combined Region and Edge-Based Active Contours
This paper presents a new approach to automated muscle fiber analysis based on segmenting myofibers with combined region and edge based active contours. It provides reliable and fu...
Thomas Brox, Yoo-Jin Kim, Joachim Weickert, Wolfga...
ICCV
2007
IEEE
16 years 8 months ago
Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape Segmentation The Opposing Metrics Method
We present a new approach for the incorporation of shape information into a segmentation algorithm. Unlike previous approaches to the problem, our method requires no initializatio...
Ali Kemal Sinop, Leo Grady