Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Mutual constraint using partial occlusion artifact removal for computational integral imaging reconstruction

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, we propose a partial occlusion removal method to obtain an artifact-free three-dimensional reconstructed image by computational integral imaging reconstruction (CIIR). The method utilizes the mutual constraints that exist between the elemental images in the elemental image array to obtain a reliable depth map. Normally, in CIIR, the elemental images are very small and have very low resolution, which makes it difficult to obtain a reliable depth field. Therefore, previous researchers proposed a subimage-based framework, where elemental images are first transformed into subimages by a subimage transform to increase the small sizes of the elemental images. After that, a stereomatching algorithm is applied on the subimages to compute the depth map from which the region of occlusion can be extracted. However, due to the inherent incorrectness of the subimages and the weak constraint used in the stereomatching algorithm, the resulting depth map includes many false regions, which result in a noisy segmentation of the occluding object region. By utilizing the mutual relationship between neighboring elemental images, a strong constraint can be applied on the computation of the depth map. This reduces the uncertainty in the computation and thus results in a reliable depth map. This is due to the fact that owing to the strong constraint, the depth map can be computed directly from the elemental images, excluding the incorrectness of the subimages. We also describe both the pixel-wise and window-based implementations of the proposed method. Experimental results verify the performance of the proposed method.

© 2015 Optical Society of America

Full Article  |  PDF Article
More Like This
Occlusion-removed scheme using depth-reversed method in computational integral imaging

Miao Zhang, Yongri Piao, and Eun-Soo Kim
Appl. Opt. 49(14) 2571-2580 (2010)

Occlusion removal method of partially occluded 3D object using sub-image block matching in computational integral imaging

Dong-Hak Shin, Byung-Gook Lee, and Joon-Jae Lee
Opt. Express 16(21) 16294-16304 (2008)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (7)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (9)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved