Face recognition with perspective transformation
Authors: Liu, C.H. and Chaudhuri, A.
Journal: Vision Research
Volume: 43
Issue: 23
Pages: 2393-2402
ISSN: 0042-6989
DOI: 10.1016/S0042-6989(03)00429-2
Abstract:The effect of perspective transformation on transfer of face training was investigated in a yes/no recognition task using face stimuli with 42°, 10°, or no perspective convergence. A strong dependence of recognition performance on the magnitude of perspective transformation was found, with large perspective changes such as from 42° at learning to orthogonal at test producing the strongest impairment and small perspective changes such as from 10° at learning to orthogonal at test the least. In a second experiment, the internal and external features of a face from different perspective convergence were artificially combined to produce identical local features between this composite image and the original but producing an impossible perspective transformation from either. The results of transfer between the composite and untouched images showed face recognition to be strongly affected by local featural similarities and relatively insensitive to global coherence of perspective transformation. © 2003 Elsevier Ltd. All rights reserved.
Source: Scopus
Face recognition with perspective transformation.
Authors: Liu, C.H. and Chaudhuri, A.
Journal: Vision Res
Volume: 43
Issue: 23
Pages: 2393-2402
ISSN: 0042-6989
DOI: 10.1016/s0042-6989(03)00429-2
Abstract:The effect of perspective transformation on transfer of face training was investigated in a yes/no recognition task using face stimuli with 42 degrees, 10 degrees, or no perspective convergence. A strong dependence of recognition performance on the magnitude of perspective transformation was found, with large perspective changes such as from 42 degrees at learning to orthogonal at test producing the strongest impairment and small perspective changes such as from 10 degrees at learning to orthogonal at test the least. In a second experiment, the internal and external features of a face from different perspective convergence were artificially combined to produce identical local features between this composite image and the original but producing an impossible perspective transformation from either. The results of transfer between the composite and untouched images showed face recognition to be strongly affected by local featural similarities and relatively insensitive to global coherence of perspective transformation.
Source: PubMed
Preferred by: Changhong Liu
Face recognition with perspective transformation
Authors: Liu, C.H. and Chaudhuri, A.
Journal: VISION RESEARCH
Volume: 43
Issue: 23
Pages: 2393-2402
eISSN: 1878-5646
ISSN: 0042-6989
DOI: 10.1016/S0042-6989(03)00429-2
Source: Web of Science (Lite)
Face recognition with perspective transformation.
Authors: Liu, C.H. and Chaudhuri, A.
Journal: Vision research
Volume: 43
Issue: 23
Pages: 2393-2402
eISSN: 1878-5646
ISSN: 0042-6989
DOI: 10.1016/s0042-6989(03)00429-2
Abstract:The effect of perspective transformation on transfer of face training was investigated in a yes/no recognition task using face stimuli with 42 degrees, 10 degrees, or no perspective convergence. A strong dependence of recognition performance on the magnitude of perspective transformation was found, with large perspective changes such as from 42 degrees at learning to orthogonal at test producing the strongest impairment and small perspective changes such as from 10 degrees at learning to orthogonal at test the least. In a second experiment, the internal and external features of a face from different perspective convergence were artificially combined to produce identical local features between this composite image and the original but producing an impossible perspective transformation from either. The results of transfer between the composite and untouched images showed face recognition to be strongly affected by local featural similarities and relatively insensitive to global coherence of perspective transformation.
Source: Europe PubMed Central