{"title":"自动基于对象的2d到3d转换","authors":"Hak Gu Kim, B. Song","doi":"10.1109/IVMSPW.2013.6611904","DOIUrl":null,"url":null,"abstract":"This paper presents a new 2D-to-3D conversion method based on structure from motion (SfM) in order to relieve the visual fatigue and simultaneously improve the three-dimensional effect (3D effect). First, we obtain the 3D information such as camera positions and depth values via SfM. Then, we segment an input image, and find the nearest object region. Next, the projective matrix of the nearest object is computed. Finally, the nearest object is warped using the computed projective matrix, and the other regions are properly warped according to their depth values. Experimental results show that the proposed method can synthesize stereo views better than the other methods.","PeriodicalId":170714,"journal":{"name":"IVMSP 2013","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automatic object-based 2D-to-3D conversion\",\"authors\":\"Hak Gu Kim, B. Song\",\"doi\":\"10.1109/IVMSPW.2013.6611904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new 2D-to-3D conversion method based on structure from motion (SfM) in order to relieve the visual fatigue and simultaneously improve the three-dimensional effect (3D effect). First, we obtain the 3D information such as camera positions and depth values via SfM. Then, we segment an input image, and find the nearest object region. Next, the projective matrix of the nearest object is computed. Finally, the nearest object is warped using the computed projective matrix, and the other regions are properly warped according to their depth values. Experimental results show that the proposed method can synthesize stereo views better than the other methods.\",\"PeriodicalId\":170714,\"journal\":{\"name\":\"IVMSP 2013\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IVMSP 2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVMSPW.2013.6611904\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IVMSP 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVMSPW.2013.6611904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a new 2D-to-3D conversion method based on structure from motion (SfM) in order to relieve the visual fatigue and simultaneously improve the three-dimensional effect (3D effect). First, we obtain the 3D information such as camera positions and depth values via SfM. Then, we segment an input image, and find the nearest object region. Next, the projective matrix of the nearest object is computed. Finally, the nearest object is warped using the computed projective matrix, and the other regions are properly warped according to their depth values. Experimental results show that the proposed method can synthesize stereo views better than the other methods.