Centroid Based on Branching Contour Matching for 3D Reconstruction using Beta-spline

Abstract

Reconstruction of real object often involves branching contour cases. An effective technique is required to determine the correct corresponding sub contour between two connected contours. This is to ensure the accuracy of the resulted image. This study has introduced a contour matching method using the similarity of the sub contour centroid value. The technique is fast enough equivalence to the  requirement of reconstruction technique which has to be time and space effective. The matched sub contours then are connected by introducing an intermediate contour called as composite contour. The technique has been applied in the reconstruction of human head and Stanford bunny from CT images. Beta-spline was employed as the fitted surface as this surface has capability to give smoothed and accurate result.

3D reconstruction of gastrointestinal regions using shape-from-focus

“…The value of λ is different for different cases and empirical in our experiment. Finally, the world points (x, y) are computed from depth point using equation (6). The side and top view of reconstructed regions are shown in Fig.…”

“…Other methods are hinged on the motion or multiple relative positions of the camera [5]. Some methods aslo use contour matching techniques for depth enstimation [6]. 3D reconstruction has numerous applications in measurement systems, robotics, medical applications including diagnostics, video surveillance and monitoring etc.…”

LDAM: line descriptors augmented by attention mechanism

“…Primitive matching is a fundamental problem in computer vision and is crucial for many vision tasks, such as 3D reconstruction 1,43 , simultaneous localization and mapping (SLAM) 2 , and structure-from-motion (SFM) 3 . Primitive matching includes two steps in general, which are primitive feature extracting and feature matching.…”