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Title page for etd-0911106-134538


URN etd-0911106-134538 Statistics This thesis had been viewed 3023 times. Download 1472 times.
Author Chieh-Chih Chen
Author's Email Address No Public.
Department Communication Engineering
Year 2005 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 47
Title A STUDY OF DEPTH ESTIMATION ON A PC-BASED REAL-TIME STEREO VISION SYSTEM
Keyword
  • depth estimation
  • stereo
  • real-time
  • real-time
  • stereo
  • depth estimation
  • Abstract In this thesis, we construct a depth estimation algorithm suitable for real-time implementation on commodity PCs. The proposed method is based on the MML (Multiple Mip-map Levels) correlation-based algorithm. In the original MML method proposed by Yang and Pollefeys[1], the depth estimation does not fair well around areas of low texture complexity and abrupt boundaries between distinct object. Instead of constructing mip-map using box filter, we use Gaussian filter of different variance to construct the mip-map. This result in a more robust and accurate MML SSD (Sum of Square Difference).
    We use Gaussian filters of smaller variances to reduce the degree of blurring in the higher mip-map level images whose image size is smaller. In the lower mip-map level images, we use Gaussian filters of larger variances to reduce the influence of noise. We generate the proposed MML SSD by combining the level 0 image of SD (Square Difference) image, the level 4 to level 6 mip-map images generated by the Gaussian filters of variance of 0.1, and the level 1 to level 6 images generated by the Gaussian filters of variance of 1.
    We successfully demonstrate our system by processing several stereo image pairs and obtain satisfied experimental results.
    Advisor Committee
  • Jia-Ching Cheng - advisor
  • Shuenn-Shyang Wang - co-chair
  • Wei, Ching-Huang - co-chair
  • Files indicate access worldwide
    Date of Defense 2006-07-31 Date of Submission 2006-09-11


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