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Sparse signal representation has proven to be an extremely powerful tool in a wide range of engineering applications. However, most of the existing techniques are designed for regular data (such as audio signals and images/videos) that uniformly lies in regular Euclidian spaces. This paper aims at extending sparse representation for irregular data (such as colors of 3D point clouds) that is defined...
In this paper, we present a novel re-texturing approach using intrinsic video. Our approach begins with indicating the regions of interests by contour-aware layer segmentation. Then, the intrinsic video (including reflectance and illumination components) within the segmented region is recovered by our weighted energy optimization. After that, we compute the normals for the re-textured region, and...
In this paper, we present a novel depth-aware abstraction approach for videos. By introducing the additional depth cues, our approach is able to enhance the depth perception of the artistic-abstraction video. We first recover consistent depth information from the input video using multiview stereo and energy optimization algorithm. Then, the coherent line is extracted by employing the an isotropic...
This paper proposes a way to transfer the visual style of a painting as characterised by colour contrast to a photographic image by manipulating the visual attributes in terms of hue, saturation and lightness. We first extract the visual characteristics in hue, saturation and lightness from a painting. Then, these characteristics are transferred to a photographic image by histogram matching in saturation...
In this paper, we present a novel detail-preserving fusion approach from multiple exposure images using sub band architecture. Given a sequence of different exposures, the Quadrature Mirror Filters (QMFs) based sub band architecture is first employed to decompose the original sequence into different frequency sub bands. After that, the importance weight maps are calculated according to the image appearance...
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