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17 years 1 months ago
Markov Random Field Modeling in Computer Vision
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...
Stan Z. Li
AIPR
2001
IEEE
15 years 6 months ago
A Qualitative Image Reconstruction from an Axial Image Sequence
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 ...
Philippe Guermeur, Edwige Pissaloux
120
Voted
JNW
2008
167views more  JNW 2008»
15 years 2 months ago
Analyzing the ENRON Communication Network Using Agent-Based Simulation
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...
Shinako Matsuyama, Takao Terano
128
Voted
ICIP
2009
IEEE
16 years 3 months ago
Illumination Invariant And Rotational Insensitive Textural Representation
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 8 months ago
Stable reciprocal image associations in cognitive systems
—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...
Douglas S. Greer