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One major challenge in computer vision is to go beyond the modeling of individual objects and to investigate the bi- (one-versus-one) or tri- (one-versus-two) relationship among multiple visual entities, answering such questions as whether a child in a photo belongs to the given parents. The child-parents relationship plays a core role in a family, and understanding such kin relationship would have...
The aim of the Kinship Verification in the Wild Evaluation (held in conjunction with the 2015 IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana, Slovenia) was to evaluate different kinship verification algorithms. For this task, two datasets were made available and three possible experimental protocols (unsupervised, image-restricted, and image-unrestricted) were designed...
Recent research has demonstrated that computer vision algorithms have understood individual face image fairly well. However, one major challenge in computer vision is to go beyond that and to investigate the bi-or tri- relationship among multiple visual entities, answering such questions as whether a child in a photo belongs to given parents. Indeed parents-child relationship plays a core role in...
As the first step in a face normalization procedure, accurate eye localization technique has the fundamental importance for the performance of face recognition systems. One of the most classical methods to address this is the pictorial model where the appearance model and shape constraints are optimized together. However, under extreme illumination changes and large expression variations, the simple...
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