Evaluating performance of feature extraction methods for practical 3D imaging systems
Deepak Dwarakanath, Alexander Eichhorn, Pål Halvorsen, Carsten Griwodz · 2012
Smart cameras are extensively used for multi-view capture and 3D rendering applications. To achieve high quality, such applications are required to estimate accurate position and orientation of the cameras (called as camera calibration-pose estimation). Traditional techniques that use checkerboard or special markers, are impractical in larger spaces. Hence, feature-based calibration (auto-calibration), is necessary. Such calibration methods are carried out based on features extracted and matched between stereo pairs or multiple cameras.