{"title":"基于偏度值的高速三维物体检索","authors":"Vicky Sintunata, T. Aoki","doi":"10.1109/TENCONSPRING.2016.7519435","DOIUrl":null,"url":null,"abstract":"A novel high-speed 3D object retrieval system is presented here. Since creating a 3D model as an input to the retrieval system is not trivial, a 2D image (photos, sketches, etc.) of the object is usually used instead. We present a new high-speed retrieval method by using skewness information. The images in the database will be represented by a skewness function. By using the proposed method, comparison between the query and all images in the database can be avoided. From the experiment, the proposed method performs 60 times faster than using only SURF method in retrieval system.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High speed 3D object retrieval using skewness value\",\"authors\":\"Vicky Sintunata, T. Aoki\",\"doi\":\"10.1109/TENCONSPRING.2016.7519435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel high-speed 3D object retrieval system is presented here. Since creating a 3D model as an input to the retrieval system is not trivial, a 2D image (photos, sketches, etc.) of the object is usually used instead. We present a new high-speed retrieval method by using skewness information. The images in the database will be represented by a skewness function. By using the proposed method, comparison between the query and all images in the database can be avoided. From the experiment, the proposed method performs 60 times faster than using only SURF method in retrieval system.\",\"PeriodicalId\":166275,\"journal\":{\"name\":\"2016 IEEE Region 10 Symposium (TENSYMP)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Region 10 Symposium (TENSYMP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCONSPRING.2016.7519435\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Region 10 Symposium (TENSYMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCONSPRING.2016.7519435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High speed 3D object retrieval using skewness value
A novel high-speed 3D object retrieval system is presented here. Since creating a 3D model as an input to the retrieval system is not trivial, a 2D image (photos, sketches, etc.) of the object is usually used instead. We present a new high-speed retrieval method by using skewness information. The images in the database will be represented by a skewness function. By using the proposed method, comparison between the query and all images in the database can be avoided. From the experiment, the proposed method performs 60 times faster than using only SURF method in retrieval system.