Image matching and finding correspondence between a stereo image pair is an essential task in digital photogrammetry computer vision. Stereo images represent the same scene from two different perspectives, therefore they typically contain high degree of redundancy. This paper includes evaluation implementing manual as well auto-match that acquired with overlapped area. Particular target points ...

In this paper we discuss the importance of scene registration for several tasks in the automated interpretation of aerial imagery. These tasks are structure matching, stereo matching, and stereo visualization. While the processes of registration and matching have traditionally been treated as separate problems, particularly in the case of stereo matching, we describe techniques that may unify t...

Background: One of the challenges of PET/MRI combined systems is to derive an attenuation map to correct the PET image. For that, the pseudo-CT image could be used to correct the attenuation. Until now, most existing scientific researches construct this pseudo-CT image using the registration techniques. However, these techniques suffer from the local minima of the non-rigid deformation energy f...

In this paper we study the problem of computing an exact, or arbitrarily close to exact, solution of an unrestricted point set stereo matching problem. Within the context of classical approaches like the Marr-Poggio algorithm, this means that we study how to solve the unrestricted basic subproblems created within such approaches, possibly yielding an improved overall performance of such methods...

In this paper we study the problem of computing an exact, or arbitrarily close to exact, solution of an unrestricted point set stereo matching problem. Within the context of classical approaches like the Marr-Poggio algorithm, this means that we study how to solve the unrestricted basic subproblems created within such approaches, possibly yielding an improved overall performance of such methods...

Robot vision tasks often use stereo methods to obtain 3-d information on the environment. This paper shows how color information can be utilized to improve the results of dense stereo matching as well as the results of edge-based stereo matching. A hierarchical chromatic Block Matching technique to obtain dense stereo correspondence is presented. The results have been compared to the results of...