{"title":"Multi-projector display with continuous self-calibration","authors":"Jin Zhou, Liang Wang, A. Akbarzadeh, Ruigang Yang","doi":"10.1145/1394622.1394626","DOIUrl":"https://doi.org/10.1145/1394622.1394626","url":null,"abstract":"Most existing calibration techniques for multi-projector display system require that the display configuration remain fixed during the display process. We in this paper present a new approach to continuously re-calibrate the projection system to automatically adapt to the display configuration changes, while the multi-projector system is being used without interruption. By rigidly attaching a camera to each projector, we argument the projector with sensing capability and use the camera to provide online close-loop control. In contrast to previous auto or continuous projector calibration solutions, our approach can be used on surfaces of arbitrary geometry and can handle both projector and display surface movement, yielding more flexible system configuration and better scalability. Experimental results show that our approach is both accurate and robust.","PeriodicalId":433468,"journal":{"name":"International Workshop on Projector-Camera Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126117048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust checkerboard recognition for efficient nonplanar geometry registration in projector-camera systems","authors":"Weibin Sun, Xubo Yang, Shuangjiu Xiao, Wencong Hu","doi":"10.1145/1394622.1394625","DOIUrl":"https://doi.org/10.1145/1394622.1394625","url":null,"abstract":"Projector-camera systems always need complicated geometry calibration to get a correct display result on nonplanar projection surface. Geometry registration of most calibration methods dealing with arbitrary surfaces is done by projecting a set of structure light patterns or by manually 3D modeling, which are both time-consuming. In this paper, we propose a robust checkerboard calibration pattern recognition method to help nonplanar surface geometry registration. By approximating the nonplanar surface to be composite of many planar quad patches, pixels mapping between the calibration camera and a projector can be got by projecting only one checkerboard calibration pattern recognized by our method. Compared with geometry registration with structure light or encoded points, which need project many images, our method can be more efficient. Our recognition method has two steps: corner detection and checkerboard pattern match. Checkerboard internal corners are defined as special conjunction points of four alternating dark and bright regions. A candidate corner's neighbor points within a rectangular or a circular window are treated as in different one-point-width layers. By processing the points layers in corner detection, we transform the 2D points distribution into 1D, which simplifies the regions amount counting and also improves the robustness against noises caused by deformation and complex illumination. After corner detection, the pre-known checkerboard grids rows and columns amounts are used to match and decide the right checkerboard corners from the results that have found. Regions boundary data produced during the corner detection also assist the matching process.","PeriodicalId":433468,"journal":{"name":"International Workshop on Projector-Camera Systems","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122510574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Color mixing property of a projector-camera system","authors":"Xinli Chen, Xubo Yang, Shuangjiu Xiao, Meng Li","doi":"10.1145/1394622.1394641","DOIUrl":"https://doi.org/10.1145/1394622.1394641","url":null,"abstract":"In this paper, we investigate the property of how color channels of a projector-camera system interact with each other, which is also called color mixing of the system. We propose a method to describe this property with a single color mixing matrix for the system, rather than a different matrix for every surface point. The matrix is independent of projection surface and ambient light. It can be measured just like response functions of projector-camera system. The matrix is helpful for color sensitive applications like radiometric compensation and scene reconstruction. By decoupling color channels with the matrix of the system, color images can be processed on each channel separately just like gray images. As most projector-camera systems have broad overlap color channels, it's improper to neglect their interactions. We will show the validity of describing color mixing of the system with a single matrix. In the end, some experiments are designed to verify our method. The result is convincing.","PeriodicalId":433468,"journal":{"name":"International Workshop on Projector-Camera Systems","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122625567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Anywhere pixel router","authors":"Steve Dominick, Ruigang Yang","doi":"10.1145/1394622.1394632","DOIUrl":"https://doi.org/10.1145/1394622.1394632","url":null,"abstract":"Large-format, high-resolution displays have experienced significant growth in demand across a broad range of markets, including command and control rooms, immersive simulation environments, entertainment events, and corporate conference rooms. The need has arisen for a rapidly deployable, cost effective solution for creating large, seamless displays of high resolution dynamic content from multiple independent sources. We propose the Pixel Router as an essential piece of technology toward meeting this need. This scalable, custom hardware solution allows the mapping of pixels from any input to any output while performing composition operations, all based on a simple look-up table. Coupled with existing camera-based projector calibration techniques to describe the specific pixel routing and blending for a given display, this system can provide a rapidly deployable solution for viewing high resolution content from many sources simultaneously.","PeriodicalId":433468,"journal":{"name":"International Workshop on Projector-Camera Systems","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123100129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measurement of 3D foot shape deformation in motion","authors":"M. Kimura, M. Mochimaru, T. Kanade","doi":"10.1145/1394622.1394636","DOIUrl":"https://doi.org/10.1145/1394622.1394636","url":null,"abstract":"Recently, techniques for measuring and modeling of human body are recieving attention, because human models are useful for ergonomic design in manufacturing. We aim to accurately measure the dynamic shape of human foot in motion (i.e. walking or running). Such measurement is profitable for shoe design and sports analysis. In this paper, a projector-camera system is proposed to measure the shape of the naked foot while walking or running. A characteristic pattern is set on the projector, so that correspondence between the projection pattern and the camera captured image can be solved easily. Because pattern switching is not required, the system can measure foot shape even when the foot is in motion. The proposed method trades \"density of measurement\" for \"stability of matching\", but the reduced density is sufficient for our purpose.","PeriodicalId":433468,"journal":{"name":"International Workshop on Projector-Camera Systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133287416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}