Video stabilization using epipolar geometry
نویسندگان
چکیده
منابع مشابه
Contour Matching Using Epipolar Geometry
Generally contour matching is diicult, and the problem becomes more diicult when the motion between successive image frames is large. When the image frames are obtained while the camera is in motion, we can use constraints about the scene and the camera. In this paper we propose a contour matching algorithm which guarantees an accurate matching result, even for large motion contours. The key id...
متن کاملWhat Epipolar Geometry Can Do for Video-Surveillance
In this paper we deal with the problem of matching moving objects between multiple views using geometrical constraints. We consider systems of still, uncalibrated and partially overlapped cameras and design a method able to automatically learn the epipolar geometry of the scene. The matching step is based on a functional that computes the similarity between objects pairs jointly considering dif...
متن کاملImage Inpainting using Two -View Epipolar Geometry
We take a fresh look at the problem of removing occluders in an image using inpainting. We examine a geometric method that utilizes a second image of the scene from a different viewpoint, to identify the occluded objects. We recover the missing intensities by using the geometric relationship between corresponding points in the two images. The relationship is generally specified by the “epipolar...
متن کاملGenerating Dense Point Matches Using Epipolar Geometry
Dense point matches are generated over two images by rectifying the two images to align epipolar lines horizontally, and horizontally sliding a template. To overcome inherent limitations of 2-D search, we incorporate the “naturalness of the 3-D shape” implied by the resulting matches. After stating our rectification procedure, we introduce our multi-scale template matching scheme and our outlie...
متن کاملCheirality in Epipolar Geometry
The image points in two images satisfy epipolar constraint. However, not all sets of points satisfying epipolar constraint correspond to any real geometry because there can exist no cameras and scene points projecting to given image points such that all image points have positive depth. Using the cheirality theory due to Hartley and previous work on oriented projective geometry, we give necessa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Graphics
سال: 2012
ISSN: 0730-0301,1557-7368
DOI: 10.1145/2231816.2231824