Abstract

We present to the best of our knowledge the first report on three-dimensional (3D) integral imaging capture and reconstruction method with unknown poses of sensors placed on a flexible surface. Compared to a conventional integral imaging system, where a lenslet or sensor array is commonly located on a planar surface, the flexible sensing integral imaging system allows sensors to be placed on a nonplanar surface that can increase the field of view of the 3D imaging system. To obtain the poses of the sensor array on a flexible surface, an estimation algorithm is developed based on two-view geometry theory and the camera projective model. In addition, a super-resolution image is generated from a sequence of low-resolution 2D images with sub-pixel shifts. Super-resolution 3D reconstruction results at different depths are presented to validate the proposed approach.

© 2014 Optical Society of America

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