文章基本信息

标题：Implementing Cepstral Filtering Technique Using Gabor Filters to Find Stereoscopic Disparity
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作者：Sheena Sharma ; Harshit Agarwal ; C. M. Markan 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2011
卷号：2
期号：4
页码：221
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Cepstral filtering technique is applied on an interlaced image, the pattern similar to that which is found inlayer IV of Primate Visual Cortex. It involves Power spectrum in computation, which is square of absoluteof Fast Fourier Transform (FFT), is a complicated and hardware unfriendly. We propose an algorithm inwhich Gabor filters, instead of Power Spectrum, are applied to an interlaced image in the Cepstralalgorithm. This scheme makes it hardware friendly as it gives the flexibility of working with modules whichcan be imitated in hardware. Building a FFT module is a tough task in analog circuit but determiningGabor energy, an alternative to it, can be achieved by elementary circuits. The Phase, Energy Models andother methods, use multi-lambda Gabor filters to compute disparity. The proposed method uses sum ofabsolute difference to choose a single Gabor filter of appropriate lambda that fits to find the disparity. Thealgorithm inherits the quality of both Gabor filter and Ocular Dominance Pattern and hence a biologicallyinspired and suitable for hardware realization. The proposed algorithm has been implemented on the testdata image. A hardware scheme has also been proposed that can be used to estimate disparity and the ideacan be extended in building complex modules that can perform real time - real image operations with ahandful of resources as compared to employing complex digital FPGAs and CPLDs.
关键词：Computer Vision; Image Analysis; 3D Reconstruction