Analysis of focus measure operators for shape-from-focus
Pattern Recognition
Reliability measure for shape-from-focus
Image and Vision Computing
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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.