A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of Constraint Based Pose Estimation Algorithms
Mustererkennung 2000, 22. DAGM-Symposium
A Four-step Camera Calibration Procedure with Implicit Image Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Pseudo-linearizing collinearity constraint for accurate pose estimation from a single image
Pattern Recognition Letters
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Virtual reconstruction of cultural heritage is not only the basis but also one of important contents of its digitized research. The techniques of interactive texture reconstruction researched in this article are of great significance to heighten the effect of virtual reconstruction of cultural heritage. Firstly, interactive and precise texture mapping is aiming at establishing the relationship between texture images and 3D models by appointed corresponding points interactively. The process is based on the traditional camera calibration. For a camera with known intrinsic parameters, three pair of corresponding points will be used to calculate the initial value of extrinsic parameters, and more corresponding points will be used to refine the result. For a camera with unknown intrinsic parameters, an implicit projection matrix will be calculated directly. Secondly, a fast occlusion culling method will be used to remove hidden triangle from texture mapping. At last, a natural neighbor interpolation method will be used to minimize the texture mapping error caused by lens distortion of the camera and the error of 3D scanner.