Askant Vision Architecture Using Warp Model of Hough Transform : For Realizing Dynamic & Central/Peripheral Camera Vision (Special Issue on Computer Vision)

概要

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The warp model of the extended Hough transform (EHT) has been proposed to design the explicit expression of the transform function of EHT. The warp model is a skewed parameter space (R(μ,ξ), φ(μ,ξ)) of the space (μ,ξ), which is homeomorphic to the original (ρ,θ) parameter space. We note that the introduction of the skewness of the parameter space defines the angular and positional sensitivity characteristics required in the detection of lines from the pattern space. With the intent of contributing some solutions to basic computer vision problems, we present theoretically a dynamic and central-fine/peripheral-coarse camera vision architecture by means of this warp model of Hough transform. We call this camera vision architecture 'askant vision' from an analogy to the human askant glance. In this paper, an outline of the EHT is briefly shown by giving three functional conditions to ensure the homeomorphic relation between (μ,ξ) and (ρ,θ) parameter spaces. After an interpretation of the warp model is presented, a procedure to provide the transform function and a central-coarse/peripheral-fine Hough transform function are introduced. Then in order to realize a dynamic control mechanism, it is proposed that shifting of the origin of the pattern space leads to sinusoidal modification of the Hough parameter space.
社団法人電子情報通信学会の論文
1994-11-25