The Experts below are selected from a list of 1773 Experts worldwide ranked by ideXlab platform

Ruzena Bajcsy - One of the best experts on this subject based on the ideXlab platform.

  • true single view point cone mirror omni directional catadioptric system
    International Conference on Computer Vision, 2001
    Co-Authors: Shihschon Lin, Ruzena Bajcsy
    Abstract:

    Pinhole Camera Model is a simplified subset of geometric optics. In special cases like the image formation of the cone (a degenerate conic section) mirror in an omnidirectional view catadioptric system, there are more complex optical phenomena involved that the simple Pinhole Model can not explain. We show that using the full geometric optics Model a true single viewpoint cone mirror omni-directional system can be built. We show how such a system is built first, and then show in detail how each optical phenomenon works together to make the system true single viewpoint. The new system requires only simple off-the-shelf components and still outperforms other single viewpoint omni-systems for many applications.

  • ICCV - True single view point cone mirror omni-directional catadioptric system
    Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 1
    Co-Authors: Shihschon Lin, Ruzena Bajcsy
    Abstract:

    Pinhole Camera Model is a simplified subset of geometric optics. In special cases like the image formation of the cone (a degenerate conic section) mirror in an omnidirectional view catadioptric system, there are more complex optical phenomena involved that the simple Pinhole Model can not explain. We show that using the full geometric optics Model a true single viewpoint cone mirror omni-directional system can be built. We show how such a system is built first, and then show in detail how each optical phenomenon works together to make the system true single viewpoint. The new system requires only simple off-the-shelf components and still outperforms other single viewpoint omni-systems for many applications.

Shihschon Lin - One of the best experts on this subject based on the ideXlab platform.

  • true single view point cone mirror omni directional catadioptric system
    International Conference on Computer Vision, 2001
    Co-Authors: Shihschon Lin, Ruzena Bajcsy
    Abstract:

    Pinhole Camera Model is a simplified subset of geometric optics. In special cases like the image formation of the cone (a degenerate conic section) mirror in an omnidirectional view catadioptric system, there are more complex optical phenomena involved that the simple Pinhole Model can not explain. We show that using the full geometric optics Model a true single viewpoint cone mirror omni-directional system can be built. We show how such a system is built first, and then show in detail how each optical phenomenon works together to make the system true single viewpoint. The new system requires only simple off-the-shelf components and still outperforms other single viewpoint omni-systems for many applications.

  • ICCV - True single view point cone mirror omni-directional catadioptric system
    Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 1
    Co-Authors: Shihschon Lin, Ruzena Bajcsy
    Abstract:

    Pinhole Camera Model is a simplified subset of geometric optics. In special cases like the image formation of the cone (a degenerate conic section) mirror in an omnidirectional view catadioptric system, there are more complex optical phenomena involved that the simple Pinhole Model can not explain. We show that using the full geometric optics Model a true single viewpoint cone mirror omni-directional system can be built. We show how such a system is built first, and then show in detail how each optical phenomenon works together to make the system true single viewpoint. The new system requires only simple off-the-shelf components and still outperforms other single viewpoint omni-systems for many applications.

Reinhard Koch - One of the best experts on this subject based on the ideXlab platform.

  • ICCV - Refractive Structure-from-Motion on Underwater Images
    2013 IEEE International Conference on Computer Vision, 2013
    Co-Authors: Anne Jordt-sedlazeck, Reinhard Koch
    Abstract:

    In underwater environments, Cameras need to be confined in an underwater housing, viewing the scene through a piece of glass. In case of flat port underwater housings, light rays entering the Camera housing are refracted twice, due to different medium densities of water, glass, and air. This causes the usually linear rays of light to bend and the commonly used Pinhole Camera Model to be invalid. When using the Pinhole Camera Model without explicitly Modeling refraction in Structure-from-Motion (SfM) methods, a systematic Model error occurs. Therefore, in this paper, we propose a system for computing Camera path and 3D points with explicit incorporation of refraction using new methods for pose estimation. Additionally, a new error function is introduced for non-linear optimization, especially bundle adjustment. The proposed method allows to increase reconstruction accuracy and is evaluated in a set of experiments, where the proposed method's performance is compared to SfM with the perspective Camera Model.

  • BMVC - Calibration of Housing Parameters for Underwater Stereo-Camera Rigs.
    Procedings of the British Machine Vision Conference 2011, 2011
    Co-Authors: Anne Sedlazeck, Reinhard Koch
    Abstract:

    When using perspective Cameras underwater, the underwater housing with its glass interface between water and air causes the light rays to change their direction due to refraction. In applications where geometrical properties of images are exploited without explicitly Modeling refraction, i.e. when using the perspective Pinhole Camera Model, this leads to a systematical error. This error is depending on the housing configuration like distance between Camera and glass interface and angle between glass interface normal and optical axis. In this paper, we analyze the calibration of those parameters using a Camera Model explicitly considering refraction. The goal is to determine those parameters without the need of handling a calibration target underwater, which is cumbersome, if not impossible.

Wang Junshuai - One of the best experts on this subject based on the ideXlab platform.

  • Microscopic vision Modeling method by direct mapping analysis for micro-gripping system with stereo light microscope.
    Micron (Oxford England : 1993), 2016
    Co-Authors: Wang Yuezong, Zhao Zhizhong, Wang Junshuai
    Abstract:

    We present a novel and high-precision microscopic vision Modeling method, which can be used for 3D data reconstruction in micro-gripping system with stereo light microscope. This method consists of four parts: image distortion correction, disparity distortion correction, initial vision Model and residual compensation Model. First, the method of image distortion correction is proposed. Image data required by image distortion correction comes from stereo images of calibration sample. The geometric features of image distortions can be predicted though the shape deformation of lines constructed by grid points in stereo images. Linear and polynomial fitting methods are applied to correct image distortions. Second, shape deformation features of disparity distribution are discussed. The method of disparity distortion correction is proposed. Polynomial fitting method is applied to correct disparity distortion. Third, a microscopic vision Model is derived, which consists of two Models, i.e., initial vision Model and residual compensation Model. We derive initial vision Model by the analysis of direct mapping relationship between object and image points. Residual compensation Model is derived based on the residual analysis of initial vision Model. The results show that with maximum reconstruction distance of 4.1mm in X direction, 2.9mm in Y direction and 2.25mm in Z direction, our Model achieves a precision of 0.01mm in X and Y directions and 0.015mm in Z direction. Comparison of our Model with traditional Pinhole Camera Model shows that two kinds of Models have a similar reconstruction precision of X coordinates. However, traditional Pinhole Camera Model has a lower precision of Y and Z coordinates than our Model. The method proposed in this paper is very helpful for the micro-gripping system based on SLM microscopic vision.

Toshikazu Wada - One of the best experts on this subject based on the ideXlab platform.

  • a calibrated Pinhole Camera Model for single viewpoint omnidirectional imaging systems
    International Conference on Image Processing, 2004
    Co-Authors: D Moldovan, Toshikazu Wada
    Abstract:

    This paper presents a perspective imaging Model that is able to eliminate image deformations caused by non-linear lens distortion and to detect the location of the optical center respectively. By using a calibration pattern it can detect the optical center by tracking the optical rays generated by 3D points that have the same representation on the image plane. Calibration pattern is also used in order to generate normalized virtual screens on which captured images are back projected, thus eliminating the deformations. Experimental results for single viewpoint omni-directional Cameras demonstrate the effectiveness of our method.

  • ICIP - A calibrated Pinhole Camera Model for single viewpoint omnidirectional imaging systems
    2004 International Conference on Image Processing 2004. ICIP '04., 1
    Co-Authors: D Moldovan, Toshikazu Wada
    Abstract:

    This paper presents a perspective imaging Model that is able to eliminate image deformations caused by non-linear lens distortion and to detect the location of the optical center respectively. By using a calibration pattern it can detect the optical center by tracking the optical rays generated by 3D points that have the same representation on the image plane. Calibration pattern is also used in order to generate normalized virtual screens on which captured images are back projected, thus eliminating the deformations. Experimental results for single viewpoint omni-directional Cameras demonstrate the effectiveness of our method.