• Title/Summary/Keyword: topological normalization

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Estimation of Material Budget in Okutama Forest Area from Satellite Images

  • Ito, Hisao;Ogawa, Susumu
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.476-478
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    • 2003
  • Capability of material fixation in forest was noticed since COP3, but now it was difficult to understand material fixation in wide area. In this study, we attempted to estimate and test the amount of carbon, nitrogen, and phosphorus fixed by forest from satellite images. First, we classified into tree species and estimated the number of trees in the forest by species, area, and digital numbers. We inspected to apply it in wide area. Next, we compared the amount of carbon, nitrogen, and phosphorus with NDVI and each band of satellite images.

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Evaluation of shape similarity for 3D models (3차원 모델을 위한 형상 유사성 평가)

  • Kim, Jeong-Sik;Choi, Soo-Mi
    • The KIPS Transactions:PartA
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    • v.10A no.4
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    • pp.357-368
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    • 2003
  • Evaluation of shape similarity for 3D models is essential in many areas - medicine, mechanical engineering, molecular biology, etc. Moreover, as 3D models are commonly used on the Web, many researches have been made on the classification and retrieval of 3D models. In this paper, we describe methods for 3D shape representation and major concepts of similarity evaluation, and analyze the key features of recent researches for shape comparison after classifying them into four categories including multi-resolution, topology, 2D image, and statistics based methods. In addition, we evaluated the performance of the reviewed methods by the selected criteria such as uniqueness, robustness, invariance, multi-resolution, efficiency, and comparison scope. Multi-resolution based methods have resulted in decreased computation time for comparison and increased preprocessing time. The methods using geometric and topological information were able to compare more various types of models and were robust to partial shape comparison. 2D image based methods incurred overheads in time and space complexity. Statistics based methods allowed for shape comparison without pose-normalization and showed robustness against affine transformations and noise.