Showing papers by "Stephen J. Maybank published in 1999"
23 Jun 1999
TL;DR: A general algorithm for plane-based calibration that can deal with arbitrary numbers of views and calibration planes and it is easy to incorporate known values of intrinsic parameters is presented.
Abstract: We present a general algorithm for plane-based calibration that can deal with arbitrary numbers of views and calibration planes. The algorithm can simultaneously calibrate different views from a camera with variable intrinsic parameters and it is easy to incorporate known values of intrinsic parameters. For some minimal cases, we describe all singularities, naming the parameters that can not be estimated. Experimental results of our method are shown that exhibit the singularities while revealing good performance in non-singular conditions. Several applications of plane-based 3D geometry inference are discussed as well.
643 citations
13 Sep 1999
TL;DR: This work presents an approach for 3D reconstruction of objects from a single image based on user-provided coplanarity, perpendicularity and parallelism constraints, used to calibrate the image and perform3D reconstruction.
Abstract: We present an approach for 3D reconstruction of objects from a single image. Obviously, constraints on the 3D structure are needed to perform this task. Our approach is based on user-provided coplanarity, perpendicularity and parallelism constraints. These are used to calibrate the image and perform 3D reconstruction. The method is described in detail and results are provided.
147 citations
01 Jan 1999
TL;DR: The main result is that there is little reason for preferring the fundamental matrix model over the collineation model, even when the former is the ‘true’ model.
Abstract: Scene geometry can be inferred from point correspondences between two images. The inference process includes the selection of a model. Four models are considered: background (or null), collineation, affine fundamental matrix and fundamental matrix. It is shown how Minimum Description Length (MDL) can be used to compare the different models. The main result is that there is little reason for preferring the fundamental matrix model over the collineation model, even when the former the ‘true’ model.
13 citations
TL;DR: A technique to build and manipulate three dimensional models of vehicles, to be used by a computer vision system, which will help find a suitable class of models for the vehicles and the trajectories, which are restricted to shape of cars and their trajectories.
Abstract: We present a technique to build and manipulate three dimensional models of vehicles, to be used by a computer vision system. These tools will help find a suitable class of models for the vehicles and the trajectories, which are restricted to shape of cars (symmetry, regularity) and their trajectories (ground plane constraint), moving on a fixed scenario.Th e models consist of a variable number of facets in the three dimensional space, varying along time, each one with a corresponding objective (evaluation) function.
3 citations