DocumentCode
3464461
Title
Recovering 3D Shape of Weak Textured Surfaces
Author
Muhammad, Mannan Saeed ; Mutahira, Husna ; Majid, A. ; Choi, Tae-Sun
Author_Institution
Signal & Image Process. Lab., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
fYear
2009
fDate
June 29 2009-July 2 2009
Firstpage
191
Lastpage
197
Abstract
3D shape recovery of the object from its 2D images based on image focus has been an important field of research. Shape from focus (SFF) is one of the passive methods to recover the shape of the object. Mostly,existing approaches work well with dense textured objects; however, they cannot compute depth of weak textured scenes with great precision. In this paper, we propose a new SFF algorithm which improves there covered shape of weak textured objects. The proposed method is experimented and its performance is tested using different image sequences of synthetic and real objects with varying texture. The proposed approach provides better results as compared to previous approaches.
Keywords
image texture; shape recognition; solid modelling; 3D shape recovery; image focus; shape from focus method; weak textured surface computation; Cameras; Focusing; Image sequences; Laplace equations; Layout; Lenses; Optical noise; Shape measurement; Signal processing; Surface texture; 3D shape recovery; Shape from Focus; texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Its Applications, 2009. ICCSA '09. International Conference on
Conference_Location
Yongin
Print_ISBN
978-0-7695-3701-6
Type
conf
DOI
10.1109/ICCSA.2009.25
Filename
5260924
Link To Document