Nam-Woo Kim

Distortion-free wide-angle 3D imaging and visualization using off-axially distributed image sensing

We propose a new off-axially distributed image sensing (ODIS) using a wide-angle lens for reconstructing distortion-free wide-angle slice images computationally. In the proposed system, the wide-angle image sensor captures a wide-angle 3D scene, and thus the collected information of the 3D objects is severely distorted. To correct this distortion, we introduce a new correction process involving a wide-angle lens to the computational reconstruction in ODIS. This enables us to reconstruct distortion-free, wide-angle slice images for visualization of 3D objects. Experimental results are carried out to verify the proposed method. To the best of our knowledge, this is the first time the use of a wide-angle lens in a multiple-perspective 3D imaging system is described.

Developing of Vision-Based Virtual Combat Simulator

In this paper, we propose an intelligent system to detect users aiming point in the virtual combat simulator that is constructed part of real directional environment. Our system uses computer vision techniques to analyze images acquired from an inexpensive digital camera in real-time. This paper presents new systems that use a gun with infra-red laser pointer to take aim displayed on a flexible screen. Also, it provides users with a convenient, noninvasive, inexpensive, and natural interface for entertainment or training without requiring a real situation installation.

3D Visualization of Partially Occluded Objects Using Axially Distributed Image Sensing With a Wide-Angle Lens

In this paper we propose an axially distributed image-sensing method with a wide-angle lens to capture the wide-area scene of 3D objects. A lot of parallax information can be collected by translating the wide-angle camera along the optical axis. The recorded wide-area elemental images are calibrated using compensation of radial distortion. With these images we generate volumetric slice images using a computational reconstruction algorithm based on ray back-projection. To show the feasibility of the proposed method, we performed optical experiments for visualization of a partially occluded 3D object.