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
fDate :
June 29 2009-July 2 2009
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;
Conference_Titel :
Computational Science and Its Applications, 2009. ICCSA '09. International Conference on
Conference_Location :
Yongin
Print_ISBN :
978-0-7695-3701-6
DOI :
10.1109/ICCSA.2009.25