{"title":"基于层的量化距离图像角点检测与分类方法","authors":"Viktor Kovács, G. Tevesz","doi":"10.1109/ECBS-EERC.2013.20","DOIUrl":null,"url":null,"abstract":"This paper deals with corner detection and classification in low depth resolution range images. Having significantly lower range resolution than spatial introduces challenges in spatial information understanding. The method consists of processing the layers individually. Each layer is treated as binary images and morphologic operations are applied to extract iso-depth lines. Based on these lines we detect and classify corners using a set of conditions. We present results of the algorithm based on synthetic images generated from different viewpoints of a scene.","PeriodicalId":314029,"journal":{"name":"2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Layer Based Approach of Corner Detection and Classification in Quantized Range Images\",\"authors\":\"Viktor Kovács, G. Tevesz\",\"doi\":\"10.1109/ECBS-EERC.2013.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with corner detection and classification in low depth resolution range images. Having significantly lower range resolution than spatial introduces challenges in spatial information understanding. The method consists of processing the layers individually. Each layer is treated as binary images and morphologic operations are applied to extract iso-depth lines. Based on these lines we detect and classify corners using a set of conditions. We present results of the algorithm based on synthetic images generated from different viewpoints of a scene.\",\"PeriodicalId\":314029,\"journal\":{\"name\":\"2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECBS-EERC.2013.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECBS-EERC.2013.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Layer Based Approach of Corner Detection and Classification in Quantized Range Images
This paper deals with corner detection and classification in low depth resolution range images. Having significantly lower range resolution than spatial introduces challenges in spatial information understanding. The method consists of processing the layers individually. Each layer is treated as binary images and morphologic operations are applied to extract iso-depth lines. Based on these lines we detect and classify corners using a set of conditions. We present results of the algorithm based on synthetic images generated from different viewpoints of a scene.