Geodesic distance-weighted shape vector image diffusion

IEEE Transactions on Visualization and Computer Graphics

Volumn 14, Issue 6, 2008, Pages 1643-1650

  Hua, Jing ^a   Lai, Zhaoqiang ^a   Dong, Ming ^a   Gu, Xianfeng ^b   Qin, Hong ^b  

^a WAYNE STATE UNIVERSITY   (United States)

^b STONY BROOK UNIVERSITY   (United States)

Author keywords

Multiscale diffusion; Shape vector image; Surface matching; Visualization

Indexed keywords

3D SURFACES; CONFORMAL; CONFORMAL GEOMETRIES; EFFICIENT SURFACES; EXCELLENT PERFORMANCES; GEODESIC DISTANCES; GEOMETRIC FEATURES; MATCHING; MEAN CURVATURES; MULTIMODALITY; MULTISCALE DIFFUSION; MULTISCALE DIFFUSIONS; RECTANGULAR DOMAINS; SHAPE CHARACTERISTICS; SHAPE VECTOR IMAGE; SHAPE VECTORS; STATISTICAL ANALYSIS; SURFACE MATCHING; SURFACE MODELS; VISUALIZATION FRAMEWORKS; VOLUMETRIC DATUM;

DATA VISUALIZATION; DIFFUSION; FEATURE EXTRACTION; GEODESY; SEMICONDUCTOR DOPING; STATISTICAL METHODS; SURFACE DIFFUSION; THREE DIMENSIONAL; TWO DIMENSIONAL; VECTORS; VISUALIZATION; VOLUMETRIC ANALYSIS;

SURFACE PROPERTIES;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY;

EID: 54949118709     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2008.134     Document Type: Conference Paper

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