Occluded object imaging via optimal camera selection

Tao Yang; Yanning Zhang; Xiaomin Tong; Wenguang Ma; Rui Yu

doi:10.1117/12.2049680

24 December 2013 Occluded object imaging via optimal camera selection

Tao Yang, Yanning Zhang, Xiaomin Tong, Wenguang Ma, Rui Yu

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 906703 (2013) https://doi.org/10.1117/12.2049680
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

High performance occluded object imaging in cluttered scenes is a significant challenging task for many computer vision applications. Recently the camera array synthetic aperture imaging is proved to be an effective way to seeing object through occlusion. However, the imaging quality of occluded object is often significantly decreased by the shadows of the foreground occluder. Although some works have been presented to label the foreground occluder via object segmentation or 3D reconstruction, these methods will fail in the case of complicated occluder and severe occlusion. In this paper, we present a novel optimal camera selection algorithm to solve the above problem. The main characteristics of this algorithm include: (1) Instead of synthetic aperture imaging, we formulate the occluded object imaging problem as an optimal camera selection and mosaicking problem. To the best of our knowledge, our proposed method is the first one for occluded object mosaicing. (2) A greedy optimization framework is presented to propagate the visibility information among various depth focus planes. (3) A multiple label energy minimization formulation is designed in each plane to select the optimal camera. The energy is estimated in the synthetic aperture image volume and integrates the multi-view intensity consistency, previous visibility property and camera view smoothness, which is minimized via Graph cuts. We compare our method with the state-of-the-art synthetic aperture imaging algorithms, and extensive experimental results with qualitative and quantitative analysis demonstrate the effectiveness and superiority of our approach.

Citation Download Citation

Tao Yang, Yanning Zhang, Xiaomin Tong, Wenguang Ma, and Rui Yu "Occluded object imaging via optimal camera selection", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 906703 (24 December 2013); https://doi.org/10.1117/12.2049680

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available