Indradeo Ram

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This paper presents insights gained from applying biological vision mechanisms in the context of computer vision algorithm design, implementation and initial evaluation. In this paper a software-based space variant log(z) retina tessellation is used to sample the underlying image, maintaining the high resolution at the central foveal region and an(More)
We present the results of an investigation that compares matching SIFT local image features that have been extracted from a software-based retina model under two different forms of retina geometry, log(z) and log(z + α). Our retinas are sampled by receptive fields (RF) which are organized at a high density in the central foveal region of the retina(More)
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