A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Selecting the Optimal Focus Measure for Autofocusing and Depth-From-Focus
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Use of Dense Stereo Range Data in Augmented Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
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Augmented Reality composes virtual objects with real scenes in a mixed environment. The recovering of the depth information of the scene is one of the most important problems in AR because correct handling of occlusion is a significant challenge for achieving visual realism. As an improved method of depth from defocus, coded aperture camera can recover depth by using a normal high resolution RGB image. Based on the principle of the coded aperture imaging, this paper studies the method of building the coded aperture imaging simulation platform. The property of coded aperture patterns to obtain depth can be obtained by simulating the coded aperture imaging with Zemax. The proposed simulation platform can effectively simulate the real coded aperture imaging by comparing the depth results between simulated images and real images. Experimental results prove that the proposed method is simple and effective.