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This paper proposes a novel photometric stereo method for reliable reconstruction of non-Lambertian object surfaces based on color and noise analysis. Unlike previous techniques that treat highlight pixels as outliers, the proposed method utilizes the intrinsic shape cue in those pixels by robust reflection separation. Image noise is estimated from two photometric images instead of a single one, thus...
Reassembling fragmented images is a useful technique to seize digital image evidence. Graph-based methods are one of the most popular for reassembly. However most of them use some garbage data to mistakenly calculate weights between fragment pairs which contain insufficient image data. To overcome this problem, we take special consideration on the last fragment for each reassembling image, in which...
Visual saliency plays an important role in biological vision. This paper proposes a novel feature-based approach of visual saliency detection for natural color images. The saliency for each pixel is determined by two features: the structure information and the color information, which represent local information of pixels. The structure information is represented by local steering kernel and the color...
Digital ID images are getting wide use in our social life. The automatic evaluation of the images’ quality is an important technique in the applications. An evaluation method on the content-related quality of ID images is introduced in this paper. The important attributes and their evaluating methods are analyzed in accordance with the ISO/IEC and ICAO standards. Considering the special features and...
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