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Based on the principle of parallax of binocular visual system, three-dimensional of target is acquired by a lot of images. One identification technique for three-dimensional (3D) target is proposed in this paper. The characteristic information of target is extracted and reconstructed after images which are collected in OpenCV are pre-processed; Finally, based on Support Vector Machine package, the...
We present a system that improves accuracy of food intake assessment using computer vision techniques. Traditional dietetic method suffers from the drawback of either inaccurate assessment or complex lab measurement. Our solution is to use a mobile phone to capture images of foods, recognize food types, estimate their respective volumes and finally return quantitative nutrition information. Automated...
In this paper we present a new method for categorizing video sequences capturing different scene classes. This can be seen as a generalization of previous work on scene classification from single images. A scene is represented by a collection of 3D points with an appearance based codeword attached to each point. The cloud of points is recovered by using a robust SFM algorithm applied on the video...
In this paper a face indexing scheme based on spatial similarity is proposed. Spatial scattering of anatomically relevant dominant points on faces is preserved in the kd-tree index structure for efficient retrieval. The methodology is invariant to linear transformation and is robust for pose and expression variations. Experimentation on ORL face database has corroborated the retrieval effectiveness...
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