We classify and review existing algorithms for computing the fundamental matrix from point correspondences and propose new effective schemes: 7-parameter Levenberg-Marquardt (LM) search, EFNS, and EFNS-based bundle adjustment. Doing experimental comparison, we show that EFNS and the 7-parameter LM search exhibit the best performance and that additional bundle adjustment does not increase the ac...

In this paper, we propose a new method to compensate for lens distortions in image stitching. Lens distortions that arise from the nonlinearity of a lens are the main cause for mismatches in stitching images. We estimate the distortion factors for each image using the Division Model and linearize the projected relationships between matching distorted feature points. Because our method works at ...

| We show that we can eeectively t a very complex facial animation models to uncalibrated video sequences , without beneet of targets, structured light o r a n y other active device. Our approach is based on regularized bundle-adjustment followed by least-squares adjustment using a set of progressively ner control triangulations. It takes advantage of three complementary sources of information:...

In this paper, we proposed a new bundle adjustment algorithm based on the distance minimization of feature matches, to eliminate the accumulated errors over a sequence for seamless mosaic. The new feature based image mosaic approach improved the stability of the global registration among images. Our experiments show that the new mosaic method is robust. Key–Words: Feature based image mosaic, Bu...

In this paper the special case of reconstruction from image sequences taken by cameras with skew equal to 0 and aspect ratio equal to 1 has been treated. These type of cameras, here called cameras with Euclidean image planes, represent rigid projections where neither the principal point nor the focal length is known. It will be shown that it is possible to reconstruct an unknown object from ima...

We present a supervised approach to recover 3D models of buildings from multiple uncalibrated views. With this method the user matches 3D vertices in the images and defines the 3D model of the building with the help of elementary and intuitive geometric constraints. At the same time, a graph describing relationships between vertices is built. Then, unknown parameters of this graph are estimated...

Previous panoramic studies focused on image stitching and the panoramic camera development. In recent years, people began to focus on panoramic scalability issues, the existed methods adopt traditional photogrammetric methods for data processing based on a multi-directional panorama images, using a large number of control points and combined bundle adjustment. Indeed, panorama itself is a kind ...

In this paper will be investigated what constraints on the intrinsic parameters that are needed in order to reconstruct an unknown scene from a number of its projective images. Two such minimal cases are studied in detail. Firstly, it is shown that it is sufficient to know the skew parameter, even if all other parameters are unknown and varying, to obtain a Euclidean reconstruction. Secondly, t...