3D Reconstruction of Piecewise Planar Models from Multiple Views Utilizing Coplanar and Region Constraints

نویسندگان

  • Yu-Chih Wang
  • Kai-Yuan Lin
  • Pau-Choo Chung
چکیده

An automatic 3D reconstruction method based upon coplanar and region constraints is proposed for synthesizing piecewise 3D planar models of a real-world scene portrayed in a sequence of digital images. Significantly, the reconstruction process requires no prior knowledge about the scene and the camera parameters. The proposed modelling method comprises three steps. Firstly, the corresponding feature points and lines are extracted from a series of images of the world scene. Secondly, the extracted corresponding points and lines are filtered in accordance with region and coplanar constraints and are used to identify the possible half-planes of real-world planes. Finally, a complete 3D planar model is constructed by identifying the correct half-planes in the world scene enlarging these half-planes to their full extent, and then merging all the extended half-planes which from part of the same world plane. The feasibility of the proposed approach is demonstrated by reconstructing 3D planar models of three real-world scenes containing objects with multiple planar facets.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Structure and Motion from Two Uncalibrated Views Using Points on Planes

This paper is about the problem of structure and motion recovery from two views of a rigid scene. Especially, we deal with the case of scenes containing planes, i.e. there are sets of coplanar points. Coplanarity is a strong constraint for both structure recovery and motion estimation. Most existing works do only exploit one of the two aspects, or, if both, then in a sub-optimal manner. A typic...

متن کامل

Automatic Line Matching and 3d Reconstruction of Buildings from Multiple Views

This paper describes two developments in the automatic reconstruction of buildings from aerial images. The first is an algorithm for automatically matching line segments over multiple images. The algorithm employs geometric constraints based on the multi-view geometry together with photometric constraints derived from the line neighbourhood, and achieves a performance of better than 95% correct...

متن کامل

A New Approach for Quantitative Evaluation of Reconstruction Algorithms in SPECT

ABTRACT Background: In nuclear medicine, phantoms are mainly used to evaluate the overall performance of the imaging systems and practically there is no phantom exclusively designed for the evaluation of the software performance.  In this study the Hoffman brain phantom was used for quantitative evaluation of reconstruction techniques. The phantom is modified to acquire t...

متن کامل

Architectural Scene Reconstruction from single or Multiple Uncalibrated Images

In this paper we present a system for the reconstruction of 3D models of architectural scenes from single or multiple uncalibrated images. The partial 3D model of a building is recovered from a single image using geometric constraints such as parallelism and orthogonality, which are likely to be found in most architectural scenes. The approximate corner positions of a building are selected inte...

متن کامل

Projective Structure and Motion from Two Views of a Piecewise Planar Scene

In this paper, we address the problem of structure and motion recovery from two views of a scene containing planes, i.e. sets of coplanar points. Most of the existing works do only exploit this constraint in a sub-optimal manner. We propose to parameterize the structure of such scenes with planes and points on planes and derive the MLE (Maximum Likelihood Estimator) using a minimal parameteriza...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • J. Inf. Sci. Eng.

دوره 29  شماره 

صفحات  -

تاریخ انتشار 2013