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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
AIPR
2001
IEEE
15 years 1 months ago
2001
IEEE
This paper presents a method to process axial monocular image sequences for mobile robot obstacle detection. We do not aim to achieve a complete scene reconstruction, but only to ...
JNW
2008
14 years 9 months ago
2008
Agent-based modeling, simulation, and network analysis approaches are one of the emergent techniques among soft computing literature. This paper presents an agent-based model for a...
ICIP
2009
IEEE
15 years 10 months ago
2009
IEEE
We propose an illumination invariant and rotation insensitive texture representation based on a Markovian textural model. A texture is aligned with its dominant orientation and te...
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
—Sensory inputs such as visual images or audio spectrograms can act as symbols in a new cognitive model. The stability of direct image association operators allows the discrete b...