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» Curved feature metrics in models of visual cortex
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SMI
2007
IEEE
194views Image Analysis» more  SMI 2007»
14 years 2 months ago
Robust Smooth Feature Extraction from Point Clouds
Defining sharp features in a given 3D model facilitates a better understanding of the surface and aids visualizations, reverse engineering, filtering, simplification, non-photo...
Joel Daniels II, Linh K. Ha, Tilo Ochotta, Cl&aacu...
CVPR
2008
IEEE
14 years 9 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
PAMI
2006
229views more  PAMI 2006»
13 years 7 months ago
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
ICIP
2008
IEEE
14 years 9 months ago
Movie summarization based on audiovisual saliency detection
Based on perceptual and computational attention modeling studies, we formulate measures of saliency for an audiovisual stream. Audio saliency is captured by signal modulations and...
Georgios Evangelopoulos, Konstantinos Rapantzikos,...
VISUALIZATION
2003
IEEE
14 years 29 days ago
Feature Space Analysis of Unstructured Meshes
Unstructured meshes are often used in simulations and imaging applications. They provide advanced flexibility in modeling abilities but are more difficult to manipulate and anal...
Ariel Shamir