Neural-network-based adaptive hybrid-reflectance model for 3-D surface reconstruction

IEEE Transactions on Neural Networks

Volumn 16, Issue 6, 2005, Pages 1601-1615

  Lin, Chin Teng ^a,b   Cheng, Wen Chang ^c   Liang, Sheng Fu ^a,b  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b University System of Taiwan   (Taiwan)

^c HSIUPING INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Enforcing integrability; Lambertian model; Neural network; Reflectance model; Shape from shading; Surface normal

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER VISION; IMAGE QUALITY; IMAGE RECONSTRUCTION; ITERATIVE METHODS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PHOTOGRAPHY;

LAMBERTIAN MODEL; NEURAL-NETWORK-BASED ADAPTIVE HYBRID-REFLECTANCE MODEL; SHAPE FROM SHADING; SUPERVISED LEARNING; SURFACE RECONSTRUCTION;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PHOTOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 28244437978     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2005.853333     Document Type: Article

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