Improved depth extraction method of 3D objects using computational integral imaging reconstruction based on multiple windowing techniques期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Improved depth extraction method of 3D objects using computational integral imaging reconstruction based on multiple windowing techniques

Affiliation:	1. Department of Digital Software, Sangmyung University, Seoul 110-743, Republic of Korea;2. Institute of Ambient Intelligence, Dongseo University, Busan 617-716, Republic of Korea;3. Department of Electrical, Electronic, and Control Engineering, Hankyong National University, Ansung 456-749, Republic of Korea;1. School of Information Science and Engineering, Northeastern University, Shenyang 110004, China;2. Software College, Northeastern University, Shenyang 110004, China;1. Department of Space Equipment, The Academy of Equipment, Beijing 101416, China;2. Department of Automation Measurement and Control, Harbin Institute of Technology, Harbin 150001, China;1. Department of Space Equipment, The Academy of Equipment, Beijing 101416, China;2. Department of Scientific Research, The Academy of Equipment, Beijing 101416, China;3. Department of Automation Measurement and Control, Harbin Institute of Technology, Harbin 150001, China;1. Key Laboratory of Mechanics on Disaster and Environment in Western China attached to the Ministry of Education of China, Lanzhou University, Lanzhou, Gansu 730000, PR China;2. Department of Mechanics and Engineering Sciences, College of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, Gansu 730000, PR China;1. LORIA, UMR CNRS 7503, Université de Lorraine, CNRS, INRIA project-team Magrit; Campus Scientifique, BP 239, 54506 Vandœuvre-lès-Nancy Cedex, France;2. Institut Pascal, UMR CNRS 6602, Université Blaise Pascal, CNRS; BP 10448, 63000 Clermont-Ferrand, France

Abstract:	This paper presents an improved depth extraction method of 3D objects using computational integral imaging reconstruction (CIIR) based on the multiple windowing models. The proposed method records 3D objects using the lenslet array; and it reconstructs multiple sets of slice images from multiple CIIR methods based on the different windowing models. A depth map is then extracted by a block matching algorithm among multiple set of slice images. A preliminary experiment is carried out to show the feasibility of the proposed method. Experimental results indicate the proposed method outperforms the previous method with two windowing models.

Keywords:	Integral imaging 3D image reconstruction Elemental images Depth extraction Lenslet array
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