Improving PMVS Algorithm for 3D Scene Reconstruction from Sparse Stereo Pairs
نویسندگان
چکیده
3D scene reconstruction resulting from a limited number of stereo pairs captured by a 3D camera is a nontrivial and challenging task even for current state-of-the-art multi-view stereo (MVS) reconstruction algorithms. It also has many application potentials in related techniques, such as robotics, virtual reality, video games, and 3D animation. In this paper, we analyze the performance of the PMVS (Patch-based MultiView Stereo software) for scene reconstruction from stereo pairs of scenes captured by a simple 3D camera. We demonstrate that when applied to a limited number of stereo pairs, PMVS is inadequate for 3D scene reconstruction and discuss new strategies to overcome these limitations to improve 3D reconstruction. The proposed Canny edge feature-based PMVS algorithm is shown to produce better reconstruction results. We also discuss further enhancements using dense feature matching and disparity map-based stereo reconstruction.
منابع مشابه
Surface Reconstruction of Ancient Water Storage Systems An Approach for Sparse 3D Sonar Scans and Fused Stereo Images
This work presents a new approach to reconstructing surfaces of underwater structures from stereo images and sonar scans collected with a micro-ROV on the islands of Malta and Gozo. Using a limited sensor load, sonar and small GoPro Hero2 cameras, the micro-ROV is able to explore small hard to reach water systems and gather data. Our algorithm is able to reconstruct geometric models of explored...
متن کاملLarge-Scale Dense 3D Reconstruction from Stereo Imagery
In this paper we propose a novel method for largescale dense 3D reconstruction from stereo imagery. Assuming that stereo camera calibration and camera motion are known, our method is able to reconstruct accurately dense 3D models of urban environments in the form of point clouds. We take advantage of recent stereo matching techniques that are able to build dense and accurate disparity maps from...
متن کاملVariationelle 3D-Rekonstruktion aus Stereobildpaaren und Stereobildfolgen
Variational optical flow methods have established themselves as one of the most accurate and well understood techniques for motion estimation from image sequences. They minimise a single global energy functional that models the temporal constancy of certain image properties, e.g. the image grey value, while imposing some form of regularity on the displacement field. Over the course of time, opt...
متن کاملBlock world reconstruction from spherical stereo image pairs
We propose a block-based scene reconstruction method using multiple stereo pairs of spherical images. We assume that the urban scene consists of axis-aligned planar structures (Manhattan world). Captured spherical stereo images are converted into six central-point perspective images by cubic projection and façade alignment. Depth information is recovered by stereo matching between images. Seman...
متن کاملA Statistical Geometric Framework for Reconstruction of Scene Models
This paper addresses the problem of reconstructing surface models of indoor scenes from sparse 3D scene structure captured from N camera views. Sparse 3D measurements of real scenes are readily estimated from image sequences using structure-from-motion techniques. Currently there is no general method for reconstruction of 3D models of arbitrary scenes from sparse data. We previously introduced ...
متن کامل