Factored Facade Acquisition using Symmetric Line Arrangements
نویسندگان
چکیده
منابع مشابه
Factored Facade Acquisition using Symmetric Line Arrangements
We introduce a novel framework for image-based 3D reconstruction of urban buildings based on symmetry priors. Starting from image-level edges, we generate a sparse and approximate set of consistent 3D lines. These lines are then used to simultaneously detect symmetric line arrangements while refining the estimated 3D model. Operating both on 2D image data and intermediate 3D feature representat...
متن کاملVariation-Factored Encoding of Facade Images
Urban facades contain large-scale repetitions in the form of windows, doors, etc. Such elements often are in different configurations (e.g., open or closed) obscuring their regular arrangements to any direct low-level pixel matching based repetition detection. We propose a variation-factored representation for facade images by progressively favoring larger repeated structures while allowing rel...
متن کاملInductively Factored Signed-graphic Arrangements of Hyperplanes
In 1994, Edelman and Reiner characterized free and supersolvable hyperplane arrangements in the restricted interval [An−1, Bn]. In this paper, we give a characterization of inductively factored arrangements in this interval, and show that the same characterization also describes factored arrangements in this interval. These results use the compact notation of signed graphs introduced by Zaslavsky.
متن کاملSymmetric Simplicial Pseudoline Arrangements
A simplicial arrangement of pseudolines is a collection of topological lines in the projective plane where each region that is formed is triangular. This paper refines and develops David Eppstein’s notion of a kaleidoscope construction for symmetric pseudoline arrangements to construct and analyze several infinite families of simplicial pseudoline arrangements with high degrees of geometric sym...
متن کاملAutonomous Hierarchical Skill Acquisition in Factored MDPs
Learning hierarchies of reusable skills is essential for efficiently solving multiple tasks in a given domain. Understanding the causal relationships between one’s actions and various dimensions of one’s environment can facilitate learning of abstract skills that may be used subsequently in related tasks. Using Bayesian network structure-learning techniques and structured dynamic programming al...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Graphics Forum
سال: 2012
ISSN: 0167-7055
DOI: 10.1111/j.1467-8659.2012.03046.x