Askant Vision Architecture Using Warp Model of Hough Transform--For Realizing Dynamic & Central/Peripheral Camera Vision--

Hiroyasu KOSHIMIZU  Munetoshi NUMADA  Kazuhito MURAKAMI  

IEICE TRANSACTIONS on Information and Systems   Vol.E77-D   No.11   pp.1206-1212
Publication Date: 1994/11/25
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Computer Vision)
Hough transform,  parameterization,  performance and quantization problems,  warp model,  parameter space,  extended Hough transform (EHT),  

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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 centralfine/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/peripheralfine 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.