Building, registrating, and fusing noisy visual maps
International Journal of Robotics Research - Special Issue on Sensor Data Fusion
Surfaces from Stereo: Integrating Feature Matching, Disparity Estimation, and Contour Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic integration of depth cues for surface reconstruction from stereo images
Dynamic integration of depth cues for surface reconstruction from stereo images
Active Computer Vision by Cooperative Focus and Stereo
Active Computer Vision by Cooperative Focus and Stereo
From Images to Surfaces: A Computational Study of the Human Early Visual System
From Images to Surfaces: A Computational Study of the Human Early Visual System
Selecting One Among the Many: A Simple Network Implementing Shifts in Selective Visual Attention
Selecting One Among the Many: A Simple Network Implementing Shifts in Selective Visual Attention
Accommodation in computer vision
Accommodation in computer vision
On the Importance of Being Asymmetric in Stereopsis—Or Why We Should Use Skewed Parallel Cameras
International Journal of Computer Vision
Separation of Transparent Layers using Focus
International Journal of Computer Vision
Depth from Defocus vs. Stereo: How Different Really Are They?
International Journal of Computer Vision - Special issue on computer vision research at the Technion
Reciprocal-Wedge Transform for Space-Variant Sensing
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Analysis of Stereo, Vergence, and Focus as Depth Cues for Active Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new approach to automatic reconstruction of a 3-D world using active stereo vision
Computer Vision and Image Understanding
Multiresolution vision in autonomous systems
Autonomous robotic systems
Machine Vision and Applications
The Agile Stereo Pair for active vision
Machine Vision and Applications
A Stereo Depth Recovery Method Using Layered Representation of the Scene
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Towards Unrestrained Depth Inference with Coherent Occlusion Filling
International Journal of Computer Vision
Short Communication: A rectilinear Gaussian model for estimating straight-line parameters
Journal of Visual Communication and Image Representation
| Hi-index | 0.14 |
An approach to integrating stereo disparity, camera vergence, and lens focus to exploit their complementary strengths and weaknesses through active control of camera focus and orientations is presented. In addition, the aperture and zoom settings of the cameras are controlled. The result is an active vision system that dynamically and cooperatively interleaves image acquisition with surface estimation. A dense composite map of a single contiguous surface is synthesized by automatically scanning the surface and combining estimates of adjacent, local surface patches. This problem is formulated as one of minimizing a pair of objective functions. The first such function is concerned with the selection of a target for fixation. The second objective function guides the surface estimation process in the vicinity of the fixation point. Calibration parameters of the cameras are treated as variables during optimization, thus making camera calibration an integral, flexible component of surface estimation. An implementation of this method is described, and a performance evaluation of the system is presented. An average absolute error of less than 0.15% in estimated depth was achieved for a large surface having a depth of approximately 2 m.