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This paper presents an efficient camera tracking using prior knowledge of a target scene - 3-D object models with scene textures. The camera tracking uses partially modeled 3-D objects instead of complete and delicate modeling, which is not easy in complex scenes with a variety of 3-D objects. For robust and accurate camera tracking, scene textures are also sparsely modeled, and they support reducing...
Traditional evaluation method of camouflage texture effect is subjective evaluation. It's very tedious and inconvenient to direct the texture designing. In this paper, a systemic and rational method for direction and evaluation of camouflage texture designing is proposed. A new camouflage texture evaluation method based on WSSIM (Weight structural similarity) is given to access the effects of camouflage...
A visual attention based approach is proposed to extract texts from complicated background in camera-based images. First, it applies the simplified visual attention model to highlight the region of interest (ROI) in an input image and to yield a map, named the VA map, consisting of the ROIs. Second, an edge map of image containing the edge information of four directions is obtained by Sobel operators...
Corner detection is an important early vision problem. In early vision processing of the mammalian visual system, the oriented tuned, contrast-driven cells in the visual cortex have the problems of positional and orientational uncertainty. That means the oriented receptive fields (RFs) of simple cells can not detect the orientational information of the line ends and corners efficiently. In this paper,...
High precision identification of feature points is an important technology and one of the bases of computer vision, image analysis and image processing. In the practical applications, the feature points can not be identified easily in various conditions of light illumination, visual angle, texture, and perspective projection. And in many cases, the size of feature point is small, the context is uncertain...
Blur is one of the most important features related to image quality. Accurately estimating the blur level of an image is of great help to estimate its quality. In this paper, a No Reference Block-based Blur Detection (NR-BBD) algorithm is proposed. It calculates the local blur at the boundaries of Macro Blocks (MBs) and then averages all of them to get the blur of the image. A content dependent weighting...
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