A novel binocular vision system for wearable devices

We present a novel binocular imaging system for wearable devices incorporating the biology knowledge of the human eyes. Unlike the camera system in smartphones, two fish-eye lenses with a larger angle of view are used, the visual field of the new system is larger, and the central resolution of output images is higher. This design leads to more effective image acquisition, facilitating computer vision tasks such as target recognition, navigation and object tracking.

[1]  Lester C. Loschky,et al.  The contributions of central versus peripheral vision to scene gist recognition. , 2009, Journal of vision.

[2]  Kan Arai,et al.  Tactile force perception depends on the visual speed of the collision object. , 2009, Journal of vision.

[3]  Gordon Cheng,et al.  Foveated vision systems with two cameras per eye , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[4]  David W. Murray,et al.  On the Choice and Placement of Wearable Vision Sensors , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[5]  Matthew A. Brown,et al.  Automatic Panoramic Image Stitching using Invariant Features , 2007, International Journal of Computer Vision.

[6]  Wolfgang Förstner,et al.  Fish-Eye-Stereo Calibration and Epipolar Rectification , 2005 .