A General Algorithm to Recover External Camera Parameters from Pairwise Camera Calibrations
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Robust feature point matching by preserving local geometric consistency
Computer Vision and Image Understanding
Determination of maximally stable extremal regions in large images
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
3D geometry from uncalibrated images
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
An Efficient Shortest Triangle Paths Algorithm Applied to Multi-camera Self-calibration
Journal of Mathematical Imaging and Vision
Calibrating a wide-area camera network with non-overlapping views using mobile devices
ACM Transactions on Sensor Networks (TOSN)
| Hi-index | 0.00 |
This paper presents a new technique for estimating a multi-view reconstruction given pair-wise Euclidean reconstructions up to rotations, translations and scales. The partial reconstructions are glued by the following three step procedure: (i) Camera rotations consistent with all reconstructions are estimated linearly. (ii) All the pair-wise reconstructions are modified according to the new rotations and refined by bundle adjustment while keeping the corresponding rotations same. (iii) The refined rotations are used to estimate both camera translations and 3D points using Second Order Cone Programming by minimizing the L1- norm. We introduce a new criterion for evaluating importance of an epipolar geometry in influence on the overall 3D geometry. The estimated importance is used to re-weight data in the above algorithm to better handle unequiponderantly captured images. The performance of the proposed method is demonstrated on difficult wide base-line image sets.