Title :
Depth enhancement using RGB-D guided filtering
Author :
Tak-Wai Hui ; King Ngi Ngan
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
Abstract :
Depth maps from low-cost RGB-D system are generally noisy and not accurate enough. Holes often exist in the depth maps. Bilateral filter is commonly utilized to perform depth enhancement. However, it requires high computational time. Its texture transferring property also makes those boundaries between textured and homogeneous regions in the filtered depth map far from satisfactory. In this paper, we present a method to filter raw depth maps using a RGB-D guided filtering in a two-stage framework. Our method not only has a faster computational time than bilateral filter but also avoids the problem of over-texture transfer. We also use RGB-D frames to fill holes in the depth maps. This can effectively prevents depth bleeding artifacts.
Keywords :
filtering theory; image enhancement; image texture; RGB-D guided filtering; bilateral filter; depth enhancement; filtered depth map; texture transferring property; Approximation methods; Hafnium; Hemorrhaging; Image color analysis; Image edge detection; Kernel; Noise measurement; Depth enhancement; guided image filtering; hole filling; linear regression;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025778