"16"^^ . . "Svoboda, Tom\u00E1\u0161" . . "US - Spojen\u00E9 st\u00E1ty americk\u00E9" . "Nen\u00ED k dispozici"@cs . . "14" . "3"^^ . "camera calibration; camera dome; multicamera calibration; selfcalibration; virtual room"@en . . . . . "Nen\u00ED k dispozici"@cs . . . . "Martinec, Daniel" . "Nen\u00ED k dispozici"@cs . "1054-7460" . . "RIV/68407700:21230/05:03113992!RIV07-AV0-21230___" . "A Convenient Multi-Camera Self-Calibration for Virtual Environments" . . "407;422" . "[B71D631D42B9]" . . "RIV/68407700:21230/05:03113992" . . "PRESENCE: Teleoperators and Virtual Environments" . . "A Convenient Multi-Camera Self-Calibration for Virtual Environments"@en . . "A Convenient Multi-Camera Self-Calibration for Virtual Environments"@en . "4" . "21230" . . . "Virtual immersive environments or telepresence setups often consist of multiple cameras which have to be calibrated. We present a convenient method for doing this. The minimum is three cameras, but there is no upper limit. The method is fully automatic and a freely moving bright spot is the only calibration object. A set of virtual 3D points is made by waving the bright spot through the working volume. Its projections are found with sub-pixel precision and verified by a robust RANSAC analysis. The cameras do not have to see all points, only reasonable overlap between camera subgroups is necessary. Projective structures are computed via rank-4 factorization and the Euclidean stratification is done by imposing geometric constraints. This linear estimate initializes a post-processing computation of non-linear distortion which is also fully automatic. We suggest a trick on how to use a very ordinary laser pointer as the calibration object. We show that it is possible to calibrate an immers"@en . "510824" . . "Pajdla, Tom\u00E1\u0161" . "A Convenient Multi-Camera Self-Calibration for Virtual Environments" . . "Virtual immersive environments or telepresence setups often consist of multiple cameras which have to be calibrated. We present a convenient method for doing this. The minimum is three cameras, but there is no upper limit. The method is fully automatic and a freely moving bright spot is the only calibration object. A set of virtual 3D points is made by waving the bright spot through the working volume. Its projections are found with sub-pixel precision and verified by a robust RANSAC analysis. The cameras do not have to see all points, only reasonable overlap between camera subgroups is necessary. Projective structures are computed via rank-4 factorization and the Euclidean stratification is done by imposing geometric constraints. This linear estimate initializes a post-processing computation of non-linear distortion which is also fully automatic. We suggest a trick on how to use a very ordinary laser pointer as the calibration object. We show that it is possible to calibrate an immers" . "3"^^ . . "P(1ET101210406), P(1ET101210407), P(1M0567)" .