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Performance Analysis of Modified LLAH Algorithm under Gaussian Noise
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 Title & Authors
Performance Analysis of Modified LLAH Algorithm under Gaussian Noise
Ryu, Hosub; Park, Hanhoon;
  PDF(new window)
Methods of detecting, describing, matching image features, like corners and blobs, have been actively studied as a fundamental step for image processing and computer vision applications. As one of feature description/matching methods, LLAH(Locally Likely Arrangement Hashing) describes image features based on the geometric relationship between their neighbors, and thus is suitable for scenes with poor texture. This paper presents a modified LLAH algorithm, which includes the image features themselves for robustly describing the geometric relationship unlike the original LLAH, and employes a voting-based feature matching scheme that makes feature description much simpler. Then, this paper quantitatively analyzes its performance with synthetic images in the presence of Gaussian noise.
Modified LLAH;Feature Description;Area Ratio;Cross Ratio;Gaussian Noise;
 Cited by
밝기 정보를 결합한 LLAH의 성능 분석,박한훈;문광석;

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