Quality Enhancement of 3D Models Reconstructed By RGB-D Camera Systems
نویسندگان
چکیده
QUALITY ENHANCEMENT OF 3D MODELS RECONSTRUCTED BY RGB-D CAMERA SYSTEMS by Chuanbo Wang The University of Wisconsin-Milwaukee, 2015 Under the Supervision of Professor Zeyun Yu Low-cost RGB-D cameras like Microsoft's Kinect capture RGB data for each vertex while reconstructing 3D models from objects with obvious drawbacks of poor mesh and texture qualities due to their hardware limitations. In this thesis we propose a combined method that enhances geometrically and chromatically 3D models reconstructed by RGB-D camera systems. Our approach utilizes Butterfly Subdivision and Surface Fitting techniques to generate smoother triangle surface meshes, where sharp features can be well preserved or minimized by different Surface Fitting algorithms. Additionally the global contrast of mesh textures is enhanced by using a modified Histogram Equalization algorithm, in which the new intensity of each vertex is obtained by applying cumulative distribution function and calculating the accumulated normalized histogram of the texture. A number of experimental results and comparisons demonstrate that our method efficiently and effectively improves the geometric and chromatic quality of 3D models reconstructed from RGB-D cameras.
منابع مشابه
Camera Arrangement in Visual 3D Systems using Iso-disparity Model to Enhance Depth Estimation Accuracy
In this paper we address the problem of automatic arrangement of cameras in a 3D system to enhance the performance of depth acquisition procedure. Lacking ground truth or a priori information, a measure of uncertainty is required to assess the quality of reconstruction. The mathematical model of iso-disparity surfaces provides an efficient way to estimate the depth estimation uncertainty which ...
متن کاملEfficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction
State-of-the-art methods for large-scale 3D reconstruction from RGB-D sensors usually reduce drift in camera tracking by globally optimizing the estimated camera poses in real-time without simultaneously updating the reconstructed surface on pose changes. We propose an efficient on-the-fly surface correction method for globally consistent dense 3D reconstruction of large-scale scenes. Our appro...
متن کاملOut-of-Core Bundle Adjustment for 3D Workpiece Reconstruction
In this thesis, we developed an RGB-D-based 3D reconstruction framework with a special emphasis on out-of-core bundle adjustment. Our approach is suitable for 3D workpiece reconstruction as well as for the reconstruction of arbitrary scenes. We first acquire RGB-D data of the scene by using a hand-held RGB-D sensor. The acquired depth map is preprocessed to achieve reduced sensor noise. Camera ...
متن کاملSTAR3D: Simultaneous Tracking And Reconstruction of 3D Objects Using RGB-D Data
We introduce a probabilistic framework for simultaneous tracking and reconstruction of 3D rigid objects using an RGB-D camera. The tracking problem is handled using a bag-of-pixels representation and a back-projection scheme. Surface and background appearance models are learned online, leading to robust tracking in the presence of heavy occlusion and outliers. In both our tracking and reconstru...
متن کامل3D Line Segment Based Model Generation by RGB-D Camera for Camera Pose Estimation
In this paper, we propose a novel method for generating 3D line segment based model from an image sequence taken with a RGB-D camera. Constructing 3D geometrical representation by 3D model is essential for model based camera pose estimation that can be performed by corresponding 2D features in images with 3D features of the captured scene. While point features are mostly used as such features f...
متن کامل