Card Eye

CardEye is an experimental trinocular, active vision system. The system uses an agile trinocular vision setup mounted on a 3-segment robotic arm. It has the same degrees of freedom as the human eyes and neck, which are vergence, pan, tilt, roll, zoom, focus and iris control. The immediate application of the invention is building a 3D model for the environment. The 3D model can be used in high-level vision tasks such as object recognition, object tracking and robot navigation. (Patent Pending).

     Research Team

     Publications

 The CardEye:  A Trinocular Active Vision System

 Zoom-lens Camera Calibration from Noisy Data with Outliers

 A Neural  Optimzation Framework for Zoom-lens Camera Calibration

  A Neural Approach for Single- and Multi- Image Camera Calibration

  Neurocalibration: a neural network that can tell camera calibration parameters

  Sensor Planning for a Trinocular Active Vision System

  Cooperative Stereo: Combining Edge- and Area-Based Stereo

  Slicing, Fitting and Linking (SFL): A Modular Triangulation Approach 

  Camera calibration with lens distortion using weakly-localized image features

  A Geometrical-based Trinocular Vision System for Edges Reconstruction, 

  Integrating Edge-Based Stereo and Structured Light for Robust Surface Reconstruction