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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Shape Recovery by Focus Based Methods Using Low Pass Filter
verfasst von : S. M. Mannan, Husna Mutahira, Tae-Sun Choi
Erschienen in: Communication and Networking
Verlag: Springer Berlin Heidelberg
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Estimating the relative 3D shape of the object is an important research topic in the area of computer vision, and is being used in a wide range of applications such as robot vision, computer games, animations, broadcast, and many more. Several active and passive methods have been proposed for recovering 3-D shape of the objects from their 2-D images. Passive methods like Shape from Focus (SFF), Shape from Defocus (SFD), Shape from Shading (SFS) etc are cheap and more effective, requiring stack of images by a single camera. In this paper, we have developed a simple and fast algorithm for SFF to calculate depth. The pixel intensities in the image sequences are modified by subtracting the maximum of first or last frame in the image sequence. A low pass filter is applied on these modified values to eliminate the noise. The proposed algorithm is fast and precise, as compared to earlier SFF methods.