Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: On the Performance Evaluation of 3D Reconstruction Techniques from a Sequence of Images | EURASIP Journal on Applied Signal Processing 2005 13 1948-1955 2005 Hindawi Publishing Corporation On the Performance Evaluation of 3D Reconstruction Techniques from a Sequence of Images Ahmed Eid Computer Vision and Image Processing CVIP Laboratory University of Louisville Louisville KY 40292 USA Email eid@ Aly Farag Computer Vision and Image Processing CVIP Laboratory University of Louisville Louisville KY 40292 USA Email farag@ Received 1 January 2004 Revised 20 September 2004 The performance evaluation of 3D reconstruction techniques is not a simple problem to solve. This is not only due to the increased dimensionality of the problem but also due to the lack of standardized and widely accepted testing methodologies. This paper presents a unified framework for the performance evaluation of different 3D reconstruction techniques. This framework includes a general problem formalization different measuring criteria and a classification method as a first step in standardizing the evaluation process. Performance characterization of two standard 3D reconstruction techniques stereo and space carving is also presented. The evaluation is performed on the same data set using an image reprojection testing methodology to reduce the dimensionality of the evaluation domain. Also different measuring strategies are presented and applied to the stereo and space carving techniques. These measuring strategies have shown consistent results in quantifying the performance of these techniques. Additional experiments are performed on the space carving technique to study the effect of the number of input images and the camera pose on its performance. Keywords and phrases evaluation 3D reconstruction reprojection quality assessment stereo space carving. 1. INTRODUCTION The design of experimental test beds and methods of analysis in addition to the definition of the ground truth are important components of any performance evaluation system in computer vision. .
