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With the recent emergence of low-cost depth sensors (e.g., Microsoft Kinect), RGB-D image can be captured more easily for object recognition. Compared to the existing RGB-based paradigm, the introduction of depth information indeed imports extra descriptive cues (e.g., surface geometry) for object characterization. In this paper, a novel hybrid RGB-D object categorization model is proposed. It is...
To recognize facial expression from candid, non-posed images, we propose a deep-learning based approach using convolutional neural networks (CNNs). In order to evaluate the performance in real-time candid facial expression recognition, we have created a candid image facial expression (CIFE) dataset, with seven types of expression in more than 10,000 images gathered from the Web. As baselines, two...
The human voice not only provides information about the semantics of spoken words, but also contains voice information based on its characteristics. This paper designed feasible identification system for non-semantics voice information by language and gender, which are the two most important in voice signals. The proposed system is speaker-independent and text-independent: it fuses the language and...
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