{"title":"尺度插值Hessian-Laplace和Haar描述子在特征匹配中的性能评价","authors":"Akshay Bhatia, R. Laganière, G. Roth","doi":"10.1109/ICIAP.2007.102","DOIUrl":null,"url":null,"abstract":"This paper studies the performance of various scale- invariant detectors in the context of feature matching. In particular, we propose an implementation of the Hessian-Laplace operator that we called scale-interpolated Hessian-Laplace. This research also proposes to use Haar descriptors which are derived from the Haar wavelet transform. It offers the advantage of being computationally inexpensive and smaller in size when compared to other descriptors.","PeriodicalId":118466,"journal":{"name":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Performance Evaluation of Scale-Interpolated Hessian-Laplace and Haar Descriptors for Feature Matching\",\"authors\":\"Akshay Bhatia, R. Laganière, G. Roth\",\"doi\":\"10.1109/ICIAP.2007.102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the performance of various scale- invariant detectors in the context of feature matching. In particular, we propose an implementation of the Hessian-Laplace operator that we called scale-interpolated Hessian-Laplace. This research also proposes to use Haar descriptors which are derived from the Haar wavelet transform. It offers the advantage of being computationally inexpensive and smaller in size when compared to other descriptors.\",\"PeriodicalId\":118466,\"journal\":{\"name\":\"14th International Conference on Image Analysis and Processing (ICIAP 2007)\",\"volume\":\"93 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"14th International Conference on Image Analysis and Processing (ICIAP 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2007.102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2007.102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance Evaluation of Scale-Interpolated Hessian-Laplace and Haar Descriptors for Feature Matching
This paper studies the performance of various scale- invariant detectors in the context of feature matching. In particular, we propose an implementation of the Hessian-Laplace operator that we called scale-interpolated Hessian-Laplace. This research also proposes to use Haar descriptors which are derived from the Haar wavelet transform. It offers the advantage of being computationally inexpensive and smaller in size when compared to other descriptors.
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