OSWALD, CREMERS: SURFACE NORMAL INTEGRATION FOR 4D RECONSTRUCTION 1 Surface Normal Integration for Convex Space-time Multi-view Reconstruction
نویسندگان
چکیده
We show that surface normal information allows to significantly improve the accuracy of a spatio-temporal multi-view reconstruction. On one hand, normal information can improve the quality of photometric matching scores. On the other hand, the same normal information can be employed to drive an adaptive anisotropic surface regularization process which better preserves fine details and elongated structures than its isotropic counterpart. We demonstrate how normal information can be used and estimated and explain crucial steps for an efficient implementation. Experiments on several challenging multi-view video data sets show clear improvements over state-of-the-art methods.
منابع مشابه
Surface Normal Integration for Convex Space-time Multi-view Reconstruction
We propose a convex variational approach to space-time reconstruction which estimates surface normal information and integrates it into the photoconsistency estimation as well as into an anisotropic spatio-temporal total variation regularization. As such the proposed method generalizes the works [4], [5]. Although [4] already studied anisotropic regularization they did not estimate normals but ...
متن کاملImage-Based 3D Modeling via Cheeger Sets
We propose a novel variational formulation for generating 3D models of objects from a single view. Based on a few user scribbles in an image, the algorithm automatically extracts the object silhouette and subsequently determines a 3D volume by minimizing the weighted surface area for a fixed user-specified volume. The respective energy can be efficiently minimized by means of convex relaxation ...
متن کاملMultiview Normal Field Integration using Graph-Cuts
While there are many algorithms which address the reconstruction of partial surfaces from single-view normal fields, to the best of our knowledge, there is only one method [Chang et al., ’Multiview Normal Field Integration using Level Sets’, CVPR 2007] which focuses on the reconstruction of the full shape of an object from multiple normal fields captured from multiple viewpoints. In this paper,...
متن کاملIntegration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains
We propose a convex framework for silhouette and stereo fusion in 3D reconstruction from multiple images. The key idea is to show that the reconstruction problem can be cast as one of minimizing a convex functional where the exact silhouette consistency is imposed as a convex constraint that restricts the domain of admissible functions. As a consequence, we can retain the original stereo-weight...
متن کاملNon-parametric Single View Reconstruction of Curved Objects Using Convex Optimization
We propose a convex optimization framework delivering intuitive and reasonable 3D meshes from a single photograph. For a given input image, the user can quickly obtain a segmentation of the object in question. Our algorithm then automatically generates an admissible closed surface of arbitrary topology without the requirement of tedious user input. Moreover we provide a tool by which the user i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014