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» Markov Random Field Modeling in Computer Vision
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PAMI
2007
197views more  PAMI 2007»
13 years 8 months ago
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
—A near-regular texture (NRT) is a geometric and photometric deformation from its regular origin—a congruent wallpaper pattern formed by 2D translations of a single tile. A dyn...
Wen-Chieh Lin, Yanxi Liu
ICMI
2003
Springer
99views Biometrics» more  ICMI 2003»
14 years 2 months ago
Selective perception policies for guiding sensing and computation in multimodal systems: a comparative analysis
Intensive computations required for sensing and processing perceptual information can impose significant burdens on personal computer systems. We explore several policies for sel...
Nuria Oliver, Eric Horvitz
ICCV
2005
IEEE
14 years 2 months ago
Phase Field Models and Higher-Order Active Contours
The representation and modelling of regions is an important topic in computer vision. In this paper, we represent a region via a level set of a ‘phase field’ function. The fu...
Marie Rochery, Ian Jermyn, Josiane Zerubia
CVPR
2003
IEEE
14 years 11 months ago
A Novel Model for Orientation Field of Fingerprints
As a global feature of fingerprint, orientation field is very important to automatic fingerprint identification system (AFIS). Establishing an accurate and concise model for orien...
Jinwei Gu, Jie Zhou
TIST
2011
136views more  TIST 2011»
13 years 4 months ago
Probabilistic models for concurrent chatting activity recognition
Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogue...
Jane Yung-jen Hsu, Chia-chun Lian, Wan-rong Jih