Browse Conferences

A Blind Source Separation Approach to Structure from Motion
We present an alternate approach to the problem of structure from motion (SfM) with noisy point measurements. With no information available about the joint density of three-dimensional points, the assumption of independence is the only reas...
Efficient, Precise, and Accurate Utilization of the Uniqueness Constraint in Multi-View Stereo
In this paper, the depth cue due to the assumption of texture uniqueness is reviewed. The spatial direction over which a similarity measure is optimized, in order to establish a stereo correspondence, is considered and methods to increase t...
How Far Can We Go with Local Optimization in Real-Time Stereo Matching
Applications such as robot navigation and augmented reality require high-accuracy dense disparity maps in real-time and online. Due to time constraint, most realtime stereo applications rely on local winner-take-all optimization in the disp...
An Efficient Error-Bounded General Camera Model
Camera models are essential infrastructure in computer vision, computer graphics, and visualization. The most frequently used camera models are based on the single- viewpoint constraint. Removing this constraint brings the advantage of impr...
High-Performance Multi-View Reconstruction
We present a high performance reconstruction approach, which generates true 3D models from multiple views with known camera parameters. The complete pipeline from depth map generation over depth image integration to the final 3D model visua...
Invariant High Level Reeb Graphs of 3D Polygonal Meshes
Many applications in computer graphics need high level shape descriptions, in order to benefit from a global understanding of shapes. Topological approaches enable pertinent surface decompositions, providing structural descriptions of 3D po...
Fast and Efficient Dense Variational Stereo on GPU
Thanks to their high performance and programmability, the latest graphics cards can now be used for scientific purpose. They are indeed very efficient parallel single instruction multiple data (SIMD) machines. This new trend is called gener...
Reconstructing a 3D Line from a Single Catadioptric Image
This paper demonstrates that, for axial non-central optical systems, the equation of a 3D line can be estimated using only four points extracted from a single image of the line. This result, which is a direct consequence of the lack of vant...
Spherical Catadioptric Arrays: Construction, Multi-View Geometry, and Calibration
This paper introduces a novel imaging system composed of an array of spherical mirrors and a single high-resolution digital camera. We describe the mechanical design and construction of a prototype, analyze the geometry of image formation, ...
EKF-Based Recursive Dual Estimation of Structure & Motion from Stereo Data
Extended Kalman filters (EKF) have been proposed to estimate ego-motion and to recursively update scene structure in the form of 3-D positions of selected prominent features from motion and stereo sequences. Previous methods typically accom...