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Face recognition system is used for the identification and verification of a face from a video or digital image. In the first phase, Viola Jones algorithm is used to detect and crop face region automatically from image/video frame. The second phase is to recognize the face of a person, in our proposed method Bag of Word technique used to extract features from an image which uses SURF for interest...
Facial expression recognition in complex environment is one of the difficult tasks of visual recognition in recent years. This paper introduces the visual saliency mechanism and we design automatic searching of the face region in the image. Using the narrow band C-V model to evolve curve, the proposed scheme can obtain the accurate face region. Meanwhile, the SVM will be trained by standard database...
“Ceci n'est pas une pipe” French for “This is not a pipe”. This is the description painted on the first painting in the figure above. But to most of us, how could this painting is not a pipe, at least not to the great Belgian surrealist artist Rene Magritte. He said that the painting is not a pipe, but rather an image of a pipe. In this paper, we present a study on large-scale classification of fine-art...
This paper attempts to recognize spontaneous agreement and disagreement based only on nonverbal multi-modal cues. Related work has mainly used verbal and prosodic cues. We demonstrate that it is possible to correctly recognize agreement and disagreement without the use of verbal context (i.e. words, syntax). We propose to explicitly model the complex hidden dynamics of the multimodal cues using a...
Sparse representation based classification algorithm has been used to solve the problem of human face recognition. The image database is confined to human frontal faces with only illumination and slight expression changes. Cropping and normalization of the face need to be done in advance. In this paper, we apply the sparse representation based algorithm to the problem of general image classification,...
This paper presents a method to improve generalization capabilities of supervised neural networks based on topological data mapping used in Counter Propagation Networks (CPNs). Using topological data mapping on CPNs the method presented herein provides advantages to interpolate new data in sparse areas that exist among categories and to remove overlapping or conflicting data in original training data...
We present a bimodal information analysis system for automatic emotion recognition. Our approach is based on the analysis of video sequences which combines facial expressions observed visually with acoustic features to automatically recognize five universal emotion classes: anger, disgust, happiness, sadness and surprise. We address the challenges posed during the temporal analysis of the bimodal...
This paper presents an actor video retrieval system based on face video-tubes extraction and representation with sets of temporally coherent features. Visual features, SIFT points, are tracked along a video shot, resulting in sets of feature point chains (spatio-temporal tubes). These tubes are then classified and retrieved using a kernel-based SVM learning framework for actor retrieval in a movie...
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