Face recognition with perspective transformation

This source preferred by Changhong Liu

This data was imported from PubMed:

Authors: Liu, C.H. and Chaudhuri, A.

Journal: Vision Res

Volume: 43

Issue: 23

Pages: 2393-2402

ISSN: 0042-6989

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.

This data was imported from Scopus:

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

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.

This data was imported from Web of Science (Lite):

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

This data was imported from Europe PubMed Central:

Authors: Liu, C.H. and Chaudhuri, A.

Journal: Vision research

Volume: 43

Issue: 23

Pages: 2393-2402

eISSN: 1878-5646

ISSN: 0042-6989

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.

The data on this page was last updated at 05:02 on September 21, 2018.