To respond actively to a dynamic environment, a vision system must process perceptual data in real time, and in multiple modalities. The structure of the computational load varies across the levels of vision, requiring multiple architectures. We describe the Vision Engine, a system with a pipelined early vision architecture, Datacube image processors, connected to a MIMD intermediate vision sys...

A catadioptric vision system using diverse mirrors has been a popular means to get panoramic images(K.Nayar, 1997) which contains a full horizontal field of view (FOV). This wide view is ideal for three-dimensional vision tasks such as motion estimation, localization, obstacle detection and mobile robots navigation. Omnidirectional stereo is a suitable sensing method for such tasks because it c...

This paper presents the experimental comparison of fourteen stereo matching algorithms in variant illumination conditions. Different adaptations of global and local stereo matching techniques are chosen for evaluation The variant strength and weakness of the chosen correspondence algorithms are explored by employing the methodology of the prediction error strategy. The algorithms are gauged on ...

Unmanned aerial vehicles (UAVs) are increasingly replacing manned systems in situations that are either too dangerous, too remote, or too difficult formanned aircraft to access. Modern UAVs are capable of accurately controlling their position and orientation in space using systems such as the Global Positioning System (GPS) and the Attitude and Heading Reference System (AHRS). However, they are...

11:30 On the advantage of multi-scale filters for illumination compensation Dr. Qiang Zhou (UMIST) 12:00 Region based stereo matching through bounded irregular pyramids Ms. Rebeca Marfil, et al (U. of Malaga)

Stereo vision has been studied for decades as a fundamental problem in the field of computer vision. In recent years, computer vision and image processing with a large field of view, especially using omnidirectional vision and panoramic images, has been receiving increasing attention. An important problem for stereo vision is calibration. Although various kinds of...

The active visual inspection has made giant strides in development. Due to the complexity of field conditions, the binocular stereo vision sensor in active stereo visual inspection system is difficult to acquire the ideal image pair under the poor illumination environment, or cannot work normally because one of two cameras is damaged. To solve the practical problem, a reparability method of the...

Unmanned aerial vehicles (UAVs) are increasingly replacing manned systems in situations that are either too dangerous, too remote, or too difficult formanned aircraft to access. Modern UAVs are capable of accurately controlling their position and orientation in space using systems such as the Global Positioning System (GPS) and the Attitude and Heading Reference System (AHRS). However, they are...

We propose a method for the matching of characteristics of stereo images based on the concepts of an initial global match and the foveation of the images. We present several macular tilings that can be used in the foveation process. Given a pair of cameras that image a static scene, vergence is achieved at a minimun of the mse difference between the two corresponding macular images.

Zusammenfassung In principle, stereo vision can be used to create a three-dimensional representation for the surrounding world. In practice, most stereo algorithms fail to do so securely. Schemes to overcome intrinsic problems of common stereo algorithms are investigated and new collective algorithms proposed. Possible neural implementations are discussed.