| 1. | In this paper , we introduce the relative knowledge and technique around the theory of camera calibration
本论文主要讨论摄像机自定标理论与算法。 |
| 2. | In the third chapter , we focus on the way of self - calibration by means of the image of absolute point
第三章主要给出通过圆环点的图像来实现自定标的方法。 |
| 3. | It has both the accuracy of photogrammetric calibration and the flexibility of self - calibration
该方法既具有摄影测量学的精确性，同时也具有自定标算法的灵活性。 |
| 4. | In the scheme of image warping . the thesis discusses filling hole , warping based on self - calibration and filling hole by several images
在图像warping绘制中，对空洞填补、用自定标参数进行warping 、逆向warping 、多张图像的空洞填补等方面进行了研究。 |
| 5. | Fundamental matrix and camera self - calibration are two key concepts , and model parameter estimation and implement of 3d reconstruction are main items as well
在三维重建中,基础矩阵和相机自定标是两个核心概念,模型参数估计和三维重建实现是主要研究内容。 |
| 6. | In this paper , we discussed the self - calibration method that no skew is present and the principal point is close to the center of the image but the focal length can be changed freely
本文讨论了在摄像机不存在畸变、主点已知而其它参数可以改变时的自定标算法。 |
| 7. | First , we summarize the recent development in related research areas : vr and ar , traditional graphics and ibmr . then we discuss self - calibration based on two photographs . we reach our aim via kruppa equation
然后讨论了如何实现基于两幅照片的摄像机自定标，我们通过kruppa方程较好地解决了这个问题。 |
| 8. | In the chapter of camera calibration , different camera models have been reviewed based on co - ordination relation , then conventional and self - calibration are detailed discussed respectively
在摄像机参数定标中，根据坐标关系，分别讨论了不同的摄像机模型，并对传统的定标方法和摄像机自定标做了详细阐述。 |
| 9. | We firstly talk about the basic concept and property of absolute point in projective space . then we build the constrained equations of camera intrinsic parameters by using its property and calibrate the camera
首先介绍了射影空间中圆环点的基本概念和性质，然后利用其性质建立摄像机内参数的约束方程，实现摄像机自定标。 |
| 10. | There are many key techniques in 3d reconstruction from uncalibrated image sequences , which are feature matching , fundamental matrix estimation , camera self - calibration , dense stereo matching and euclidean reconstruction
基于非定标图像序列三维重建研究涉及的关键技术有:特征匹配、基础矩阵估计、稠密匹配、相机自定标、欧氏重建等。 |
