{"title":"通过一次发射条纹结构光进行密集深度采集","authors":"Qin Li, Fu Li, Guangming Shi, Fei Qi, Yuexin Shi, Shan Gao","doi":"10.1109/VCIP.2013.6706402","DOIUrl":null,"url":null,"abstract":"Depth acquisition for moving objects becomes increasingly critical for some applications such as human facial expression recognition. This paper presents a method for capturing the depth maps of moving objects that uses a one-shot black-and-white stripe pattern with the features of simplicity and easily generation. Considering the accuracy of a matching is crucial for a precise depth map but the matching of variant-width stripes is sparse and rough, the phase differences extracted by Gabor filter to achieve a pixel-wise matching with sub-pixel accuracy are used. The details of the derivation are presented to prove that this method based on the phase difference calculated by Gabor filter is valid. In addition, the periodic ambiguity of the encoded stripe is eliminated by the epipolar segment covering a given depth range at a camera-projector calibrating stage to decrease the calculation complexity. Experimental results show that our method can get a dense and accurate depth map of a moving object.","PeriodicalId":407080,"journal":{"name":"2013 Visual Communications and Image Processing (VCIP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Dense depth acquisition via one-shot stripe structured light\",\"authors\":\"Qin Li, Fu Li, Guangming Shi, Fei Qi, Yuexin Shi, Shan Gao\",\"doi\":\"10.1109/VCIP.2013.6706402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Depth acquisition for moving objects becomes increasingly critical for some applications such as human facial expression recognition. This paper presents a method for capturing the depth maps of moving objects that uses a one-shot black-and-white stripe pattern with the features of simplicity and easily generation. Considering the accuracy of a matching is crucial for a precise depth map but the matching of variant-width stripes is sparse and rough, the phase differences extracted by Gabor filter to achieve a pixel-wise matching with sub-pixel accuracy are used. The details of the derivation are presented to prove that this method based on the phase difference calculated by Gabor filter is valid. In addition, the periodic ambiguity of the encoded stripe is eliminated by the epipolar segment covering a given depth range at a camera-projector calibrating stage to decrease the calculation complexity. Experimental results show that our method can get a dense and accurate depth map of a moving object.\",\"PeriodicalId\":407080,\"journal\":{\"name\":\"2013 Visual Communications and Image Processing (VCIP)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Visual Communications and Image Processing (VCIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VCIP.2013.6706402\",\"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 Visual Communications and Image Processing (VCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VCIP.2013.6706402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dense depth acquisition via one-shot stripe structured light
Depth acquisition for moving objects becomes increasingly critical for some applications such as human facial expression recognition. This paper presents a method for capturing the depth maps of moving objects that uses a one-shot black-and-white stripe pattern with the features of simplicity and easily generation. Considering the accuracy of a matching is crucial for a precise depth map but the matching of variant-width stripes is sparse and rough, the phase differences extracted by Gabor filter to achieve a pixel-wise matching with sub-pixel accuracy are used. The details of the derivation are presented to prove that this method based on the phase difference calculated by Gabor filter is valid. In addition, the periodic ambiguity of the encoded stripe is eliminated by the epipolar segment covering a given depth range at a camera-projector calibrating stage to decrease the calculation complexity. Experimental results show that our method can get a dense and accurate depth map of a moving object.