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    Article

    Refining Geometry from Depth Sensors using IR Shading Images

    We propose a method to refine geometry of 3D meshes from a consumer level depth camera, e.g. Kinect, by exploiting shading cues captured from an infrared (IR) camera. A major benefit to using an IR camera inst...

    Gyeongmin Choe, Jaesik Park, Yu-Wing Tai in International Journal of Computer Vision (2017)

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    Chapter and Conference Paper

    A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera

    The advanced driver assistance system (ADAS) has been actively researched to enable adaptive cruise control and collision avoidance, however, conventional ADAS is not capable of more advanced functions due to ...

    Kyuho Lee, Gyeongmin Choe, Kyeongryeol Bong, Changhyeon Kim in Computer Vision Systems (2017)

  3. Chapter and Conference Paper

    All-Around Depth from Small Motion with a Spherical Panoramic Camera

    With the growing use of head-mounted displays for virtual reality (VR), generating 3D contents for these devices becomes an important topic in computer vision. For capturing full 360 degree panoramas in a sing...

    Sunghoon Im, Hyowon Ha, François Rameau, Hae-Gon Jeon in Computer Vision – ECCV 2016 (2016)

  4. Chapter and Conference Paper

    Fine-Scale Surface Normal Estimation Using a Single NIR Image

    We present surface normal estimation using a single near infrared (NIR) image. We are focusing on reconstructing fine-scale surface geometry using an image captured with an uncalibrated light source. To tackle...

    Young** Yoon, Gyeongmin Choe, Namil Kim, Joon-Young Lee in Computer Vision – ECCV 2016 (2016)