Pak-Kiu Chung, Bing Fang, R. Ehrich, Francis K. H. Quek
{"title":"MirrorTrack","authors":"Pak-Kiu Chung, Bing Fang, R. Ehrich, Francis K. H. Quek","doi":"10.1109/AIPR.2008.4906442","DOIUrl":null,"url":null,"abstract":"This paper presents a real-time multiple camera approach for multi-touch interaction system that takes advantage of specular display surface (such as conventional LCD displays) and the mirror-effect in a low-azimuth camera angle to detect and track fingers their reflections simultaneously. Building on our prior work, 1. We use multi-resolution processing to greatly improve runtime performance of the system; 2. We employ different edge detection and pattern recognition algorithms for different processing resolution to help detect fingers more accurately and efficiently; 3. We track both the location of a fingertip and its pointing direction so it can be identified more effectively; 4. We use a full stereo algorithm to compute finger locations in the 3D space more accurately. Our system has many advantages. 1. It works with any glossy flat panel display; 2. It avoids clumsy set-up time of a top-down camera with the concomitant screen glare problems; 3. It supports both touch and hover operation; 4. It can work with large vertical display without the usual occlusion problems. We describe our approach and implementation in details.","PeriodicalId":361892,"journal":{"name":"International Conference on Artificial Intelligence and Pattern Recognition","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Artificial Intelligence and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2008.4906442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a real-time multiple camera approach for multi-touch interaction system that takes advantage of specular display surface (such as conventional LCD displays) and the mirror-effect in a low-azimuth camera angle to detect and track fingers their reflections simultaneously. Building on our prior work, 1. We use multi-resolution processing to greatly improve runtime performance of the system; 2. We employ different edge detection and pattern recognition algorithms for different processing resolution to help detect fingers more accurately and efficiently; 3. We track both the location of a fingertip and its pointing direction so it can be identified more effectively; 4. We use a full stereo algorithm to compute finger locations in the 3D space more accurately. Our system has many advantages. 1. It works with any glossy flat panel display; 2. It avoids clumsy set-up time of a top-down camera with the concomitant screen glare problems; 3. It supports both touch and hover operation; 4. It can work with large vertical display without the usual occlusion problems. We describe our approach and implementation in details.