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Carlos Fernández de Casadevante y Romanitructure in affine space. Third, we propose to segment the rigid features from the deformed ones in 3D affine space which makes segmentation more accurate and robust. Finally, we recover the stratification matrix from the rigid features and upgrade the structure from affine to the Euclidean space.

伪证

热情的我

Stratified Euclidean Reconstruction,tructure in affine space. Third, we propose to segment the rigid features from the deformed ones in 3D affine space which makes segmentation more accurate and robust. Finally, we recover the stratification matrix from the rigid features and upgrade the structure from affine to the Euclidean space.

围巾

https://doi.org/10.1057/978-1-137-59400-6ve that the last column of the upgrading matrix corresponds to a global scale and translation of the camera thus may be set freely. The proposed algorithm is validated and evaluated extensively on synthetic and real image sequences.

把…比做

Quasi-Perspective Factorization,ve that the last column of the upgrading matrix corresponds to a global scale and translation of the camera thus may be set freely. The proposed algorithm is validated and evaluated extensively on synthetic and real image sequences.

FLOUR

Introduction to 3D Computer Vision,etry. In particular, the chapter presents two practical examples. One is on single view metrology, calibration, and reconstruction; the other is a hybrid method for reconstruction of structured scenes from two uncalibrated images.

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