High quality 3D content generation requires high quality depth maps. In practice, depth maps generated by stereo-matching, depth sensingcameras, or decoders, have a low resolution and suffer from unreliable estimates and noise. Therefore depth post-processing is necessary. In this paper we benchmark state-of-the-art filter based depth upsampling methods on depth accuracy and interpolation quality by conducting a parameter space search to find the optimum set of parameters for various upscale factors and noise levels. Additionally, we analyze each method’s computational complexity with the big O notation and we measure the runtime of the GPU implementation that we built for each method. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
|Title of host publication||Proceedings of Three-Dimensional Image Processing (3DIP) and Applications 2013, 3 February 2013, Burlingame, California|
|Place of Publication||Bellingham|
|Publication status||Published - 2013|
|Name||Proceedings of SPIE|