Picture Collage with Genetic Algorithm and Stereo vision
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.
Keywords: Picture Collage, Image Summarization, Depth Map
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ABOUT THE AUTHORS
Hesam Ekhtiyar
received the B.S. degree in computer engineering from Sabzevar Tarbiat Moallem University, Sabzevar, iran, in 2011. his research interests include computer vision, speech recognition, robotics, soft computing.
Mahdi Sheida
received the B.S. degree in computer engineering from Sabzevar Tarbiat Moallem University, Sabzevar, iran, in 2011. his research interests include computer vision, speech recognition, network programming.
Mahmood Amintoosi
is an assistant professor in Sabzevar Tarbiat Moallem University. He received his B.Sc. degree in Mathematics and M.Sc. degree in Computer Engineering in 1994, 1998, respectively from Ferdowsi University of Mashhad. From 1998 to 2005, he was a Lecturer in the Department of Mathematics of Sabzevar Tarbiat Moallem University. He received his Ph.D. degree in Artificial Intelligence from Iran University of Science and Technology in 2011. His research interests include Computer Vision, Super-Resolution, Panorama, Automated Timetabling and Combinatorial Optimization. He has more than 30 conference and journal papers.
Hesam Ekhtiyar
received the B.S. degree in computer engineering from Sabzevar Tarbiat Moallem University, Sabzevar, iran, in 2011. his research interests include computer vision, speech recognition, robotics, soft computing.
Mahdi Sheida
received the B.S. degree in computer engineering from Sabzevar Tarbiat Moallem University, Sabzevar, iran, in 2011. his research interests include computer vision, speech recognition, network programming.
Mahmood Amintoosi
is an assistant professor in Sabzevar Tarbiat Moallem University. He received his B.Sc. degree in Mathematics and M.Sc. degree in Computer Engineering in 1994, 1998, respectively from Ferdowsi University of Mashhad. From 1998 to 2005, he was a Lecturer in the Department of Mathematics of Sabzevar Tarbiat Moallem University. He received his Ph.D. degree in Artificial Intelligence from Iran University of Science and Technology in 2011. His research interests include Computer Vision, Super-Resolution, Panorama, Automated Timetabling and Combinatorial Optimization. He has more than 30 conference and journal papers.
