3D model reconstruction and evaluation using a collection of points extracted from the series of photographs

Abstract

Abstract-This work describes the whole process of 3D model reconstruction. It begins with the representation of the method that is used to find the matching between photographs and the methodology to use the data to form the initial structure of the reconstructed model, represented by a point cloud. As a next stage, a refinement process is performed, using the bundle adjustment method. A set of stereovision methods is used later on to find a more detailed solution. Those algorithms use pairs of images, therefore as a prerequisite a set of routines that aggregates those results is studied. The paper is concluded with a description of how the point cloud is processed, including the surface reconstruction, to form the result. The described methodology is illustrated with reconstructions of three series of professional photographs from a public repository and one series of amateur photographs created especially for this work. The results were evaluated by the proposed area matching and contour matching measures.

Simulating Large-Scale Topographic Terrain Features with Reservoirs and Flowing Water

“…One approach to the problem of 2D generation is constructing the terrain from primitive structures and defining their connections using a tree structure [3]. The primitives can be modeled by hand or generated from real-life data, for instance, using point cloud data from photogrammetry [4]. The method can yield compelling results, but the quality depends on the artist's skill in fitting those primitives together.…”