Browse Conferences

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...

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...

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...

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...

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...

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, ...

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...

When an observer moves through a rigid 3D scene, points that are near to the observer move with a different image velocity than points that are far away. The difference between image velocity vectors is the direction of motion parallax. Thi...

This paper describes a non-intrusive method to estimate the gaze direction of a person by using stereo cameras. First, facial features are tracked with an adapted particle filtering algorithm using factorized likelihoods to estimate the 3D ...

We present a new algorithm for improving an available {conservative) estimate of the shape of an object using constraints from ray-tracing. In particular, we exploit incoherences between the lit portions of the object - detected on a set of...