In this paper we investigate the benefits of using a local appearance-based face recognition scheme against the problem of facial occlusion. We proposed two separate automatic block selection approaches to select the ...
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In this paper we investigate the benefits of using a local appearance-based face recognition scheme against the problem of facial occlusion. We proposed two separate automatic block selection approaches to select the local image blocks that could be used for classification. Proposed approaches are tested against both upper and lower facial occlusions using the AR face database. Significant improvements are observed in the face recognition performance.
This paper considers the problem of shape-from-shading using nearby planar distributed illuminants. It is shown that a rectangular planar nearby distributed uniform isotropic illuminant shining on a small Lambertian s...
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Image segmentation is a key low-level vision process for many tasks in image understanding and applications in image processing. The groups of related pixels produced by a segmentation are expected to reveal some info...
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This paper proposes a simple and novel single-camera depth estimation method using images reflected by a single transparent parallel planar plate. The transparent plate reflects and transmits the incident light on its...
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Recent work in machine learning has significantly benefited semantic extraction tasks in computervision, particularly for object recognition and image retrieval. We argue that the computervision techniques that have...
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Recent work in machine learning has significantly benefited semantic extraction tasks in computervision, particularly for object recognition and image retrieval. We argue that the computervision techniques that have been successfully applied in those settings can effectively be translated to other domains, such as audio. This claim is supported by recent results in music vs. speech classification, structure from sound, robust music identification and sound object recognition. This paper focuses on two such audio applications and demonstrates how ideas from computervision map naturally to these problems.
Image segmentation is an important research topic in image processing and computervision community. In this paper, a new unsupervised method for MR brain image segmentation is proposed based on fuzzy c-means (FCM) an...
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With the rapid growth in infrared sensor technology and its drastic cost reduction, the potential of application of these imaging technologies in computervision systems has increased. One potential application for IR...
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In recent years, region-based active contour models have gained great popularity in solving image segmentation problem. Those models usually share two assumptions regarding the image pixel properties: 1) within each r...
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One of the more important limitations of actual tools for performing arts production and design is that collaboration between designers is hard to achieve. In fact, designers must actually be co-located to collaborate...
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