Stimulus-specific effects in face recognition over changes in viewpoint.
Stimulus-specific effects in face recognition over changes in viewpoint.
复制标题
面部识别中视点变化的特定刺激效应。
DOI：
10.1016/s0042-6989(98)00042-x
复制
发表时间：
1998
期刊：
影响因子：
1.8
通讯作者：
Bülthoff,HH
中科院分区：
文献类型：
--
作者：
O'Toole,AJ;Edelman,S;Bülthoff,HH
不同的人脸所包含的用于识别和概括视点的信息的质量和数量都有很大差异。在本研究中，我们使用来自人类观察者的数据和通过视点变化的人脸识别的计算模型来评估单个人脸的典型性、可识别性和视点泛化能力。该两阶段计算模型包括视点对齐操作和插值法识别操作。这个特定模型的一个有趣的方面是，它在比对和识别阶段预测的典型性的影响是分离的，因此脸部的典型性有利于比对过程的成功，但对识别过程的成功不利。我们对不同视点的人类和模型人脸测量的协方差数据进行了因子分析，发现在所有视点上都出现了两个一致的轴。各个人脸在这些轴上的投影分数(即，人脸在该轴上与人类和模型导出的分数的模式相匹配的程度)，在不同视点变化之间的相关性比人脸的原始可识别性分数要高得多。这些结果表明，在模型测量中捕获的刺激信息可能是在视点变化中个体人脸识别的不同和不可关联的方面的基础。
Individual faces vary considerably in both the quality and quantity of the information they contain for recognition and for viewpoint generalization. In the present study, we assessed the typicality, recognizability, and viewpoint generalizability of individual faces using data from both human observers and from a computational model of face recognition across viewpoint change. The two-stage computational model incorporated a viewpoint alignment operation and a recognition-by-interpolation operation. An interesting aspect of this particular model is that the effects of typicality it predicts at the alignment and recognition stages dissociate, such that face typicality is beneficial for the success of the alignment process, but is adverse for the success of the recognition process. We applied a factor analysis to the covariance data for the human- and model-derived face measures across the different viewpoints and found two axes that appeared consistently across all viewpoints. Projection scores for individual faces on these axes (i.e. the extent to which a face's `performance profile' matched the pattern of human- and model-derived scores on that axis), correlated across viewpoint changes to a much higher degree than did the raw recognizability scores of the faces. These results suggest that the stimulus information captured in the model measures may underlie distinct and dissociable aspects of the recognizability of individual faces across viewpoint change.
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DOI：
10.1088/0954-898x_6_4_003
发表时间：
1995
期刊：
Network: Computation In Neural Systems
影响因子：
--
作者：
M. Lando;S. Edelman
通讯作者：
M. Lando;S. Edelman
影响因子：
1.7
作者：
Dominique Valentin;H. Abdi;Betty Edelman
通讯作者：
Betty Edelman
线性自动关联器可以从新方向识别人脸吗
DOI：
10.1364/josaa.13.000717
发表时间：
1996
影响因子：
1.9
作者：
D. Valentin;H. Abdi
通讯作者：
H. Abdi
影响因子：
1.7
作者：
VALENTINE, T;BRUCE, V
通讯作者：
BRUCE, V
DOI：
10.1037/0278-7393.5.3.212
发表时间：
1979-01-01
期刊：
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN LEARNING AND MEMORY
影响因子：
--
作者：
LIGHT, LL;KAYRASTUART, F;HOLLANDER, S
通讯作者：
HOLLANDER, S