Abstract
This paper proposes a novel method to see-through occlusion and automatically focuses on object with high-level imaging quality using camera array. Even with the amazing perspective identity, synthetic aperture imaging still suffers from blurs and disturbance caused by occlusion. The novelties of the approach include: (1) Rather than using the direct observed images to achieve synthetic aperture image, this paper raises the idea to synthesize edge image, which synthetic binary images after edge detection. (2) Based on the special data identity of camera array, this paper proposes an ”Auto-Cut” segmentation idea, which could upgrade interactive cut method, such as GrowCut, GrabCut and Graph Cut, to a totally automatic method. (3) This paper proposes an automatically selecting the focal depth method which could yield a convincing estimation even under serious occluded situation. The feasibility of our approach is experimentally demonstrated. A multi-view images based improved synthetic aperture imaging system has been set up, and experimental results with qualitative and quantitative analysis demonstrate that the method can improve imaging quality and resist occlusion in challenge scene.
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Song, Z., Zhang, Y., Yang, T., Zhang, X. (2013). High-Quality Synthetic Aperture Auto-imaging under Occlusion. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_50
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DOI: https://doi.org/10.1007/978-3-642-36669-7_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36668-0
Online ISBN: 978-3-642-36669-7
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