Title :
Filling large holes in LiDAR data by inpainting depth gradients
Author :
Doria, David ; Radke, Richard J.
Author_Institution :
Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
We introduce a technique to fill large holes in LiDAR data sets. We combine concepts from patch-based image inpainting and gradient-domain image editing to simultaneously fill both texture and structure in a LiDAR scan. We discuss the problems with directly inpainting a depth image, and present a solution to this problem based on inpainting the depth gradients. Once the inpainted depth gradients are obtained, we use an image reconstruction technique to obtain the final 3D scene structure. We present several real-world examples of this technique with excellent results.
Keywords :
gradient methods; image enhancement; image reconstruction; image texture; natural scenes; optical radar; radar imaging; 3D scene structure; LiDAR data sets; LiDAR scan; depth gradients; gradient-domain image editing; image reconstruction technique; image texture; large holes filling; light detection and ranging; patch-based image inpainting; Equations; Image color analysis; Image reconstruction; Laser radar; Standards; Surface emitting lasers; Vectors;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4673-1611-8
Electronic_ISBN :
2160-7508
DOI :
10.1109/CVPRW.2012.6238916