Yunseok Song, Dong-Won Shin, Eunsang Ko, Yo-Sung Ho
{"title":"实时深度图生成使用混合多视图相机","authors":"Yunseok Song, Dong-Won Shin, Eunsang Ko, Yo-Sung Ho","doi":"10.1109/APSIPA.2014.7041683","DOIUrl":null,"url":null,"abstract":"In this paper, we present a hybrid multi-view camera system for real-time depth generation. We set up eight color cameras and three depth cameras. For simple test scenarios, we capture a single object at a blue-screen studio. The objective is depth map generation at eight color viewpoints. Due to hardware limitations, depth cameras produce low resolution images, i.e., 176×144. Thus, we warp the depth data to the color cameras views (1280×720) and then execute filtering. Joint bilateral filtering (JBF) is used to exploit range and spatial weights, considering color data as well. Simulation results exhibit depth generation of 13 frames per second (fps) when treating eight images as a single frame. When the proposed method is executed on a computer per depth camera basis, the speed can become three times faster. Thus, we have successfully achieved real-time depth generation using a hybrid multi-view camera system.","PeriodicalId":231382,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Real-time depth map generation using hybrid multi-view cameras\",\"authors\":\"Yunseok Song, Dong-Won Shin, Eunsang Ko, Yo-Sung Ho\",\"doi\":\"10.1109/APSIPA.2014.7041683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a hybrid multi-view camera system for real-time depth generation. We set up eight color cameras and three depth cameras. For simple test scenarios, we capture a single object at a blue-screen studio. The objective is depth map generation at eight color viewpoints. Due to hardware limitations, depth cameras produce low resolution images, i.e., 176×144. Thus, we warp the depth data to the color cameras views (1280×720) and then execute filtering. Joint bilateral filtering (JBF) is used to exploit range and spatial weights, considering color data as well. Simulation results exhibit depth generation of 13 frames per second (fps) when treating eight images as a single frame. When the proposed method is executed on a computer per depth camera basis, the speed can become three times faster. Thus, we have successfully achieved real-time depth generation using a hybrid multi-view camera system.\",\"PeriodicalId\":231382,\"journal\":{\"name\":\"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSIPA.2014.7041683\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIPA.2014.7041683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time depth map generation using hybrid multi-view cameras
In this paper, we present a hybrid multi-view camera system for real-time depth generation. We set up eight color cameras and three depth cameras. For simple test scenarios, we capture a single object at a blue-screen studio. The objective is depth map generation at eight color viewpoints. Due to hardware limitations, depth cameras produce low resolution images, i.e., 176×144. Thus, we warp the depth data to the color cameras views (1280×720) and then execute filtering. Joint bilateral filtering (JBF) is used to exploit range and spatial weights, considering color data as well. Simulation results exhibit depth generation of 13 frames per second (fps) when treating eight images as a single frame. When the proposed method is executed on a computer per depth camera basis, the speed can become three times faster. Thus, we have successfully achieved real-time depth generation using a hybrid multi-view camera system.