E^2C^2: efficient and effective camera calibration in indoor environments

Huan Li, Pai Peng, Hua Lu, Lidan Shou, Ke Chen, Gang Chen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Original languageUndefined/Unknown
Title of host publicationProceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, UbiComp/ISWC Adjunct 2015, Osaka, Japan, September 7-11, 2015
EditorsKenji Mase, Marc Langheinrich, Daniel Gatica-Perez, Hans Gellersen, Tanzeem Choudhury, Koji Yatani
Number of pages4
PublisherAssociation for Computing Machinery
Publication date2015
Pages9-12
DOIs
Publication statusPublished - 2015

Cite this

Li, H., Peng, P., Lu, H., Shou, L., Chen, K., & Chen, G. (2015). E^2C^2: efficient and effective camera calibration in indoor environments. In K. Mase, M. Langheinrich, D. Gatica-Perez, H. Gellersen, T. Choudhury, & K. Yatani (Eds.), Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, UbiComp/ISWC Adjunct 2015, Osaka, Japan, September 7-11, 2015 (pp. 9-12). Association for Computing Machinery. https://doi.org/10.1145/2800835.2800841