High resolution, optical satellite sensors are boosted to a new era in the last few years, because satellite stereo images at half meter or even 30cm resolution are available. Nowadays, high resolution satellite image data have been commonly used for Digital Surface Model (DSM) generation and 3D reconstruction. It is common that the Rational Polynomial Coefficients (RPCs) provided by the vendor...

In this paper, we study the structure from motion problem as a constrained nonlinear least squares problem which minimizes the so called reprojection error subject to all constraints among multiple images. By converting this constrained optimization problem to an unconstrained one, we contend that multilinear constraints, when used for motion and structure estimation, need to be properly normal...

The notable improvements on performance and low cost of digital cameras and GPS/IMU devices have caused MMSs (Mobile Mapping Systems) to be gradually becoming one of the most important devices for mapping highway and railway networks, generating and updating road navigation data and constructing urban 3D models over the last 20 years. Moreover, the demands for large scale visual street-level im...

ÐThis paper addresses the problem of motion estimation from profiles (also known as apparent contours) of an object rotating on a turntable in front of a single camera. Its main contribution is the development of a practical and accurate technique for solving this problem from profiles alone, which is precise enough to allow for the reconstruction of the shape of the object. No correspondences ...

Many recent keypoint detectors associate a local scale (for multiscale detectors) or even a full affine frame (for affine-invariant detectors) to each detected keypoint. Although conventional epipolar constraints are a powerful tool for matching point-like features between pairs of images, they provide no constraint on their relative scales. We present an enhanced epipolar constraint that explo...

This paper addresses the problem of motion recovery from image profiles, in the important case of turntable sequences. No correspondences between points or lines are used. Symmetry properties of surfaces of revolution are exploited to obtain, in a robust and simple way, the image of the rotation axis of the sequence and the homography relating epipolar lines. These, together with geometric cons...

In this paper, we first show that the affine epipolar geometry can be estimated by identifying the common 1D projection from a pair of tomographic parallel projection images and the 1D affine transform between the common 1D projections. To our knowledge, the link between the common 1D projections and the affine epipolar geometry has been unknown previously; and in contrast to the traditional me...

In the previous work, we have developed a method for visual imitation by recovering the demonstrator’s view based on the stereo epipolar constraint [1]. The method is applied to the stationary pair of the stereo cameras, therefore, the visual fields to observe the both motions of the demonstrator and the learner are limited. This paper presents a method to extend our previous work by adopting a...

In this paper I try to show that through epipolar geometry we can unify the problems of image matching in stereo, motion and object recognition, which have been treated separately. Stereo matching has been known as a 1D search problem. But matching in motion and object recognition have been known as 2D search problems. I show that by recovering epipolar geometry underlying the images, the corre...