• Title/Summary/Keyword: 위상기반 스테레오 정합

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High Performance Coprocessor Architecture for Real-Time Dense Disparity Map (실시간 Dense Disparity Map 추출을 위한 고성능 가속기 구조 설계)

  • Kim, Cheong-Ghil;Srini, Vason P.;Kim, Shin-Dug
    • The KIPS Transactions:PartA
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    • v.14A no.5
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    • pp.301-308
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    • 2007
  • This paper proposes high performance coprocessor architecture for real time dense disparity computation based on a phase-based binocular stereo matching technique called local weighted phase-correlation(LWPC). The algorithm combines the robustness of wavelet based phase difference methods and the basic control strategy of phase correlation methods, which consists of 4 stages. For parallel and efficient hardware implementation, the proposed architecture employs SIMD(Single Instruction Multiple Data Stream) architecture for each functional stage and all stages work on pipelined mode. Such that the newly devised pipelined linear array processor is optimized for the case of row-column image processing eliminating the need for transposed memory while preserving generality and high throughput. The proposed architecture is implemented with Xilinx HDL tool and the required hardware resources are calculated in terms of look up tables, flip flops, slices, and the amount of memory. The result shows the possibility that the proposed architecture can be integrated into one chip while maintaining the processing speed at video rate.

3D Object Extraction Algorithm Based on Hierarchical Approach Using Reduced Windowed Fourier Phase (간소화된 윈도우 푸리에 위상을 이용한 계층적 접근기반의 3차원 객체 추출 기법)

  • Min, Gak;Han, Kyu-Phil;Lee, Ky-Soo;Ha, Yeong-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.8A
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    • pp.779-785
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    • 2002
  • This paper presents a phase-based stereo matching algorithm in order to efficiently extract 3-dimensional objects from two 2D images. Conventional phase-based methods, especially using windowed Fourier phases, inherit good properties in the case of hierarchical approaches, because they basically use a multi-resolution phase map. On the contrary, their computational costs are very heavy. Therefore, a fast hierarchical approach, using multi-resolution phase-based strategy and reducing the redundancy of phase calculations, is proposed in this pare. In addition, a structural matching algorithm on the phase domain is adopted to improve the matching quality. In experimental results, it is shown that the computation loads are considerably reduced about 8 times and stable outputs are obtained.