We present a technique to reconstruct the surface of the surgical field during neurosurgery. The images are taken with a stereo camera mounted on a surgical microscope, which is part of a neuronavigation system. We use an intensity-based method to calculate a dense disparity map over the whole image extend. Correspondences are established by exploiting the epipolar geometry and comparing image ...

In this paper, LO-RANSAC 3-LAF – a new algorithm for the correspondence problem – is described. Exploiting processes proposed for computation of affineinvariant local frames, three point-to-point correspondences are found for each region-to-region correspondence. Consequently, it is sufficient to select only triplets of region correspondences in the hypothesis stage of epipolar geometry estimat...

We present a novel algorithm performing projective rectification which does not require explicit computation of the epipolar geometry, and specifically of the fundamental matrix. Instead of finding the epipoles and computing two homographies mapping the epipoles to infinity, as done in recent work on projective rectification, we exploit the fact that the fundamental matrix of a pair of rectifie...

This paper investigates projective invariants of geometric configurations in 3 dimensional projective space P, and most particularly the computation of invariants from two or more independent images. A basic tool in this investigation is the essential matrix defined by Longuet-Higgins ([10]), for this matrix describes the epipolar correspondence between image pairs. It is proven that once the e...

We propose a new paradigm, motion without structure , for determining the ego-motion between two frames. It is best suited for cases where reliable feature point correspondence is diicult, or for cases where the expected camera motion is large. The problem is posed as a ve-dimensional search over the space of possible motions during which the structural information present in the two views is n...

One of the major difficulties in the automatic generation of digital elevation models (DEMs) is the procurement of approximate values. This presentation shows a new development based on the extraction of discrete points by an interestoperator and epipolar line intersection techniques in multiple overlapping images. The method can be considered an extension of well-known automatic DEM generation...

Ray-space interpolation is one of the key technologies to generate virtual viewpoint images, typically in epipolar plane images (EPI), to realize free viewpoint television (FTV). In this paper, a novel Radon transform based ray-space interpolation algorithm (RTI) is proposed to generate virtual viewpoint images in the EPI. In the proposed RTI, feature points of each EPI are first extracted to f...

This paper presents a novel multi-view dense point cloud generation algorithm based on low-altitude remote sensing images. The proposed method was designed to be especially effective in enhancing the density of point clouds generated by Multi-View Stereo (MVS) algorithms. To overcome the limitations of MVS and dense matching algorithms, an expanded patch was set up for each point in the point c...

Recently there has been much interest in 3D reconstruction from uncalibrated views. Relative AAne Structure has been proposed 1] as an alternative framework to projective reconstruction. Proposed algorithms in 1, 2] were based on an oo-line feature corresponding process. This paper extends the relative aane structure from motion to a `correspondenceless' 1 framework. A `projected planar patch o...

We present a new concept for the extension of epipolar image analysis to more general camera configurations like circular camera movements usually occuring for concentric mosaic acquisition. The robust method for 3D scene depth reconstruction which we call Image Cube Trajectory Analysis (ICT) is no longer restricted to horizontal, linear, and equidistant camera movements but works with arbitrar...