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The role of illumination in face recognition: Evidence for illumination dependent representations using psychophysics and computation.

机译:照明在人脸识别中的作用:使用心理物理学和计算方法进行照明依赖表示的证据。

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摘要

Humans have the ability to identify objects under varying lighting conditions with extraordinary accuracy. The behavioral aspects of this ability were investigated and compared it to the performance of the Illumination Cones (IC) model of Belhumeur and Kriegman (1998). In five experiments, observers learned 10 faces under a small subset of illumination directions. We then tested observers' recognition ability under different illuminations. Across all experiments, recognition performance was found to be dependent on the distance between the trained and tested illumination directions. This effect was modulated by the nature of the trained illumination directions. Generalizations from frontal illuminations were different than generalizations from extreme illuminations. Similarly, the IC model was also sensitive to whether the trained images were near frontal or extreme. Thus, the nature of the images in the training set were found to affect how good an estimate of the complete illumination space is derived by both humans and the model. Beyond this general correspondence, the microstructure of the generalization patterns for both humans and the IC model were remarkably similar, suggesting that the two systems may employ related algorithms.; Lighting dependency was also examined with respect to object recognition using a method similar to one used by Bulthoff and Edelman (1992) in their investigation of viewpoint dependency. They found that object recognition was viewpoint dependent and concluded that an interpolation based model proposed by Poggio and Edelman (1990) best predicted the observed psychophysical behavior. The present studies sought to answer the question of whether illumination dependence could also be described by a computational model that predicted lighting dependence and used a mechanism similar to that of the viewpoint-interpolation model. Over three different experiments, the results indicated that object recognition was lighting dependent, and that, similar to the viewpoint dependency found by Bulthoff and Edelman (1992), the psychophysical behavior could best be described by an interpolation-like model.
机译:人类具有在变化的光照条件下以极高的精度识别物体的能力。对这种能力的行为方面进行了研究,并将其与Belhumeur和Kriegman(1998)的Illumination Cones(IC)模型的性能进行了比较。在五个实验中,观察者在照明方向的一小部分中学习了10张脸。然后,我们测试了在不同照明条件下观察者的识别能力。在所有实验中,发现识别性能取决于训练和测试照明方向之间的距离。该效果由训练的照明方向的性质来调节。正面照明的概括与极端照明的概括不同。同样,IC模型也对训练后的图像接近正面还是极端敏感。因此,发现训练集中图像的性质会影响人和模型对完整照明空间的估计的推算能力。除了这种一般的对应关系之外,人类和IC模型的泛化模式的微观结构都非常相似,这表明这两个系统可以采用相关的算法。还使用与Bulthoff和Edelman(1992)在研究视点相关性时所使用的方法类似的方法,针对对象识别检查了照明相关性。他们发现对象识别依赖于视点,并得出结论,由Poggio和Edelman(1990)提出的基于插值的模型可以最好地预测观察到的心理物理行为。本研究试图回答是否还可以通过预测光照依赖性并使用类似于视点插值模型的机制的计算模型来描述照明依赖性的问题。在三个不同的实验中,结果表明对象识别与光照有关,并且类似于Bulthoff和Edelman(1992)发现的对视点的依赖,心理物理行为最好用类似插值的模型来描述。

著录项

  • 作者

    Jackson, Cullen Davis.;

  • 作者单位

    Brown University.;

  • 授予单位 Brown University.;
  • 学科 Psychology Experimental.; Psychology Cognitive.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 p.2094
  • 总页数 146
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 心理学;
  • 关键词

  • 入库时间 2022-08-17 11:46:30

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