In this paper a new approach is presented for markerless pose tracking in augmented reality. Using a tracking by detection approach, we estimate the 3D camera pose by detecting natural feature points in each input frame and building correspondences between 2D feature points. Instead of modeling the 3D environment, which is changing constantly and dynamically, we use a virtual square to define a...

In many vision applications the depth relief of an observed scene is small compared with the extent of the image. Beside man-made environments these scenes may be approximated by a plane. Due to environmental influences camera parameters can gradually change which motivates the need for a continuous self-calibration. Based on the theory of recursive parameter estimation we present an update sch...

Artificial creatures are autonomous mobile agents that have to react in real-time to sensors and plan and perform actions in the real world. Current effective architectures for artificial creatures are behavior-based and use variants of the subsumption architecture. The paper proposes an extension to these architectures in terms of a layer which introduces cognitive capabilities to artificial c...

Traditional plane alignment techniques are typically performed between pairs of frames. In this paper we present a method for extending existing two-frame planar-motion estimation techniques into a simultaneous multi-frame estimation, by exploiting multi-frame geometric constraints of planar surfaces. The paper has three main contributions: (i) we show that when the camera calibration does not ...

The determination of the 3D motion of a camera and the 3D structure of the scene in which the camera is moving, known as the Structure from Motion (SFM) problem, is a central problem in computer vision. Specifically, the recursive (online) estimation is of major interest for robotics applications such as navigation and mapping. Many problems still hinder the deployment of SFM in real-life appli...

Camera tracking is a fundamental requirement for videobased Augmented Reality applications. The ability to accurately calculate the intrinsic and extrinsic camera parameters for each frame of a video sequence is essential if synthetic objects are to be integrated into the image data in a believable way. In this paper, we present an accurate and reliable approach to camera calibration for off-li...

ÐTraditional plane alignment techniques are typically performed between pairs of frames. In this paper, we present a method for extending existing two-frame planar motion estimation techniques into a simultaneous multi-frame estimation, by exploiting multi-frame subspace constraints of planar surfaces. The paper has three main contributions: 1) we show that when the camera calibration does not ...

In this paper, we propose a new method to measure the vibrations of 3D mechanical structure. It requires only video sequence taken by single camera and Finite Element model First, intrinsic extrinsic parameters are identified. Then, collection numerical deflection shapes normal modes projected in image frame camera. This is done thanks linearization perspective projection model. Comparing motio...