Disparity estimation based on integral imaging in sub-pixel resolution using maximum a priori (MAP) registration

Jae-Hyun Jung; Keehoon Hong; Jae-Hyeung Park; Indeok Chung; Byoungho Lee

doi:10.1117/12.860061

7 September 2010 Disparity estimation based on integral imaging in sub-pixel resolution using maximum a priori (MAP) registration

Jae-Hyun Jung, Keehoon Hong, Jae-Hyeung Park, Indeok Chung, Byoungho Lee

Author Affiliations +

Proceedings Volume 7797, Optics and Photonics for Information Processing IV; 779711 (2010) https://doi.org/10.1117/12.860061
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

A sub-pixel resolution disparity estimation method using MAP registration in elemental image based on integral imaging is proposed. Accurate depth map extraction method is an important research issue in the latest researches about threedimensional (3D) content developments. We capture a 3D object using lens array, and generate elemental images. Many previous researches calculated disparity of each elemental image using sum of square distance; however, the accuracy of disparity is limited by one pixel unit. For enhancing accuracy of estimated disparity, we adapt the maximum a priori (MAP) registration algorithm to elemental image set. The proposed method can calculate each disparity of elemental image set in sub-pixel resolution using MAP registration optimization.

Citation Download Citation

Jae-Hyun Jung, Keehoon Hong, Jae-Hyeung Park, Indeok Chung, and Byoungho Lee "Disparity estimation based on integral imaging in sub-pixel resolution using maximum a priori (MAP) registration", Proc. SPIE 7797, Optics and Photonics for Information Processing IV, 779711 (7 September 2010); https://doi.org/10.1117/12.860061

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