Shape adaptation for light field compression

We propose a method of using shape adaptation for compression of light fields of 3-D objects. Shape adaptation is incorporated into two light field coders, both applying disparity compensation with an explicit geometry model, to improve the compression efficiency. The shape information can be derived at the decoder from an accurate geometry model. If the available geometry is inaccurate, we propose to code the exact 2-D shapes with the aid of the approximate geometry. Experiments show that shape adaptation greatly improves the compression performance of both coders.