Abstract not found

We describe two direct quasilinear methods for camera pose (absolute orientation) and calibration from a single image of 4 or 5 known 3D points. They generalize the 6 point ‘Direct Linear Transform ’ method by incorporating partial prior camera knowledge, while still allowing some unknown calibration parameters to be recovered. Only linear algebra is required, the solution is unique in non-degenerate cases, and additional points can be included for improved stability. Both methods fail for coplanar points, but we give an experimental eigendecomposition based one that handles both planar and nonplanar cases. Our methods use recent polynomial solving technology, and we give a brief summary of this. One of our aims was to try to understand the numerical behaviour of modern polynomial solvers on some relatively simple test cases, with a view to other vision applications.

Geometric fitting --- parameter estimation for data subject to implicit parametric constraints --- is a very common sub-problem in computer vision, used for curve, surface and 3D model fitting, matching constraint estimation and 3D reconstruction under constraints. Although many algorithms exist for specific cases, the general problem is by no means `solved' and has recently become a subject of considerable debate among researchers in statistical vision. This paper describes a new, more direct approach to geometric fitting, formulating it as the explicit recovery of a coherent, statistically optimal set of estimates of the "underlying data points" that gave rise to the observations, together with the estimated constraints which these points exactly verify. The method is implemented using an efficient constrained numerical optimization technique, and is capable of handling large problems with complex, constrained parametrizations. As examples of such problems, we consider the optimal es...

Digital photogrammetric system has shown many possibilities in image analysis division for real time digital photogrammetric treatment use of the digital camera which take storage capacity itself and digital photogrammetric measuring method. And GPS, positioning system using satellites, is acquired its utilities in many parts because it is very easy to get the three dimensional coordinates using GPS around the world. In this research, in comparison with Precise Control Point Surveying used GPS(Sokkia GRS2600), Ordinary system(Nicon D200+GPS101) and development of positioning information realized digital close-range photogrammetric system(Nicon D200+GPSmap 60CSx) surveying results, Ordinary System surveying latitude error is 19.383m, longitude error is 9.090m and Altitude error is 8.413m. However development system has shown that latitude error is 7.203m, longitude error is 4.544m and altitude error is 5.735m. Also, consumption of battery is one of the most important things for photogrammetry, the old system can observe about 30 pictures but development system can observe about 200 pictures and the weight is lessen than 3kg so that one person can operate alone. Therefore, the point of development of Positioning Information realized Digital Close-Range Photogrammetric System is to increase efficiency when renewing old result of digital map for changed topography rapidly and when you need real time information. 1.