Title :
Viewpoint invariant reconstruction of visible surfaces using first-order regularisation
Author_Institution :
Sch. of Electr. & Comput. Eng., Sungkyunkwan Univ., Suwon, South Korea
Abstract :
The application of a first-order regularisation technique to the problem of reconstruction of visible surfaces is described. The approach is a computationally efficient first-order method that achieves approximate invariance. The results indicate that the proposed method for surface reconstruction performs well on sparse noisy range data.
Keywords :
image reconstruction; object recognition; approximate invariance; computationally efficient first-order method; first-order regularisation; sparse noisy range data; surface reconstruction; viewpoint invariant reconstruction; visible surfaces;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20001389
