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» Segmenting focused objects in complex visual images
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MM
2010
ACM
146views Multimedia» more  MM 2010»
15 years 1 days ago
Making computers look the way we look: exploiting visual attention for image understanding
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations ...
Harish Katti, Subramanian Ramanathan, Mohan S. Kan...
ER
2007
Springer
103views Database» more  ER 2007»
15 years 6 months ago
Ensuring the Semantic Correctness of Complex Regions
Ensuring the semantic and topological correctness of spatial data is an important requirement in geographical information systems and spatial database systems in order to preserve ...
Mark McKenney, Alejandro Pauly, Reasey Praing, Mar...
ICCV
2007
IEEE
16 years 1 months ago
Coplanar Shadowgrams for Acquiring Visual Hulls of Intricate Objects
Acquiring 3D models of intricate objects (like tree branches, bicycles and insects) is a hard problem due to severe self-occlusions, repeated thin structures and surface discontin...
Shuntaro Yamazaki, Srinivasa G. Narasimhan, Simon ...
ICMCS
2005
IEEE
205views Multimedia» more  ICMCS 2005»
15 years 5 months ago
3D Mesh Partitioning for Retrieval by Parts Applications
A solution for part segmentation of 3D objects is proposed in this paper. The approach is targeted to identify salient visual parts of a mesh by determining its main protrusions a...
Gianni Antini, Stefano Berretti, Alberto Del Bimbo...
CVPR
2012
IEEE
13 years 2 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...