원문정보
초록
영어
In this paper, we present a method of self-calibration of a CCD camera with varying intrinsic parameters by an unknown three-dimensional scene. The advantage of this method lies in the fact that the estimate of the intrinsic camera parameters is performed by using two points in the three-dimensional scene and only two images, in addition, this method does not require constraints on the scene or on the cameras which shows that our approach minimizes the constraints on the self-calibration system. We show that the non-linear cost function is based on the relationship between the projections of two points of the scene in the two images used and the images of the absolute conic. The intrinsic parameters of camera can be obtained by minimizing a non-linear cost function that is based on two steps: initialization and optimization of the cost function. The theoretical analysis and the experimentations on synthetic and real data show that this method of self-calibration is robust in terms of stability and convergence.
목차
1. Introduction
2. Survey of Related Works
3. Preliminary
3.1. Camera Model
3.2. Matching and Interest Points
3.3. Fundamental Matrix
3.4. Absolute Conic (AC) and its Image (IAC)
4. Vision System
5. Camera Self-Calibration
6. Experimentation
6.1. Simulations
6.2. Real Data
7. Conclusion
References