Varin Chouvatut. Estimation of Camera Pose for Use in Augmented Reality System. Master's Degree(Computer Engineering). King Mongkut's University Technology Thonburi. Library. : King Mongkut's University of Technology Thonburi, 2004.
Estimation of Camera Pose for Use in Augmented Reality System
Abstract:
In an augmented reality (AR) system, also known as mixed reality (MR) system, 3-Dvirtual objects can be realistically added into a real, dynamic, 3-D environment to createan impression that the virtual object is actually part of the real scene. The movingcamera views must display the virtual object with the appropriate position andorientation for each image frame, so that the graphically rendered virtual object appearsto be part of the real, dynamic scene. The core, difficult task in AR is to estimate thescene camera's extrinsic and intrinsic parameters via camera calibration techniques.This paper proposes and compares 2 methods of camera pose estimation to get thecamera's 3-D position, orientation, and pose, which are main parameters needed foraugmented reality. The first method is used to find the camera pose by solving a set oflinear equations without any optimization. The second method is based on Tsai'scalibration algorithm that uses non-linear equations to find the optimal cameraparameters. We determine the camera's parameters using a mono-view coplanar set ofcolored markers with known 3-D world coordinates. We use an off-the-shelf digitalcamera to get our input images for each experiment. We are able to track the markersbetween image frames using a simple image processing technique. Thus, ourexperiments in finding the camera pose are straightforward and low-cost, while able toprovide precise enough results for use in an AR system.
King Mongkut's University Technology Thonburi. Library