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Integration of stereo camera geometries
SPIE Proceedings, 1990One disadvantage of the lateral stereo model is that there always exists a set of image elements, in both images, for which there is no correspondence. Similarly, one disadvantage of the axial motion stereo model is that there always exists a set of image elements around the center of either image for which the absolute error in determining depth ...
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Stereo Localization Using Dual PTZ Cameras
2009In this paper, we present a cooperative stereo system based on two pant-tilt-zoom (PTZ) cameras that can localize a moving target in a complex environment. Given an approximate target position that can be estimated by a fixed camera with a wide field of view, two PTZ cameras with a large baseline are pointed toward the target in order to estimate ...
KUMAR S +2 more
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Fully automatic, unified stereo camera and LiDAR-camera calibration
Automatic Target Recognition XXXI, 2021Advanced sensor platforms often contain a wide array of sensors in order to collect and process a diverse range of environmental data. Proper calibration of these sensors is important so that the collected data can be interpreted and fused into an accurate depiction of the environment.
Srinivasan Rajaraman +3 more
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Correspondenceless stereo vision under general stereo camera configuration
IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003, 2004Despite extensive study on it for decades, stereo vision is still widely regarded as a difficult problem. What makes it difficult is the stereo correspondence problem. Earlier Aloimonos and Herve (1992) proposed an algorithm that avoids the need of establishing correspondences across the stereo images.
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Stereo ranging with verging cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990A method of computing absolute range from stereo disparities by using verging cameras is presented. The approach differs from others by concentrating, through both analysis and experiment, on the effects caused by convergence, rather than on the general camera calibration problem.
Krotkov, Eric +2 more
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An underwater stereo-camera trap
Methods in Oceanography, 2014Abstract This paper describes the design and deployment of a new type of underwater stereo camera capable of triggering when animals are present in the field of view. Unobtrusive evaluation of the camera view field for potential targets is achieved using far-red illumination invisible to most fishes.
Kresimir Williams +4 more
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Self-calibration Of Stereo Cameras
[1988 Proceedings] Second International Conference on Computer Vision, 2005All stereo systems assume that the correct camera parameters are obtained. In fact, those parameters can be calibrated in advance using known test patterns. However, not only there is calibration errors but also some parameters are easy to change after the calibration. Even if the errors may be small, the effects on identifying corresponding points and
H. Takahashi, F. Tomita
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Compact stereo endoscopic camera using microprism arrays
Optics Letters, 2016This work reports a microprism array (MPA) based compact stereo endoscopic camera with a single image sensor. The MPAs were monolithically fabricated by using two-step photolithography and geometry-guided resist reflow to form an appropriate prism angle for stereo image pair formation.
Sung-Pyo, Yang +4 more
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Stereo calibration for a camera - projector pair
2010 IEEE Instrumentation & Measurement Technology Conference Proceedings, 2010The paper proposes a novel procedure for the localization of projected target points, capable of reducing the calibration of a camera - projector pair into the calibration of a stereo pair of cameras, with advantages in terms of simplicity, flexibility, accuracy and availability of known solutions.
BEVILACQUA, MAURIZIO +2 more
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1989
Computing range from stereo requires first matching the images taken by the left and right cameras to determine disparities, and then transforming these into absolute distances. A great deal of research in computer vision, robotics, photogrammetry, psychology, and neurophysiology has addressed both of these problems.
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Computing range from stereo requires first matching the images taken by the left and right cameras to determine disparities, and then transforming these into absolute distances. A great deal of research in computer vision, robotics, photogrammetry, psychology, and neurophysiology has addressed both of these problems.
openaire +1 more source