Picture collage with genetic algorithm and stereo vision
H Ekhtiyar, M Sheida, M Amintoosi - arXiv preprint arXiv:1201.1417, 2011 - arxiv.org
H Ekhtiyar, M Sheida, M Amintoosi
arXiv preprint arXiv:1201.1417, 2011•arxiv.orgIn this paper, a salient region extraction method for creating picture collage based on stereo
vision is proposed. Picture collage is a kind of visual image summary to arrange all input
images on a given canvas, allowing overlay, to maximize visible visual information. The
salient regions of each image are firstly extracted and represented as a depth map. The
output picture collage shows as many visible salient regions (without being overlaid by
others) from all images as possible. A very efficient Genetic algorithm is used here for the …
vision is proposed. Picture collage is a kind of visual image summary to arrange all input
images on a given canvas, allowing overlay, to maximize visible visual information. The
salient regions of each image are firstly extracted and represented as a depth map. The
output picture collage shows as many visible salient regions (without being overlaid by
others) from all images as possible. A very efficient Genetic algorithm is used here for the …
In this paper, a salient region extraction method for creating picture collage based on stereo vision is proposed. Picture collage is a kind of visual image summary to arrange all input images on a given canvas, allowing overlay, to maximize visible visual information. The salient regions of each image are firstly extracted and represented as a depth map. The output picture collage shows as many visible salient regions (without being overlaid by others) from all images as possible. A very efficient Genetic algorithm is used here for the optimization. The experimental results showed the superior performance of the proposed method.
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