The limitations of commonly used separable extensions of one-dimensional transforms, such as the Fourier and wavelet transforms, in capturing the geometry of image edges are well known. In this paper, we pursue a “true” twodimensional transform that
The main technical contributions of the proposed approach are a novel adaptive soft voting scheme based upon a local voting region using high-confidence voters, whose texture orientations are computed using Gabor filters, and a new vanishing-point-c
iOS Core Animation教程，介绍iOS 核心动画的一些基本概念。 目录 Table of Contents Preface Audience and Material Book Structure Before We Begin I: The Layer Beneath 1 The Layer Tree Layers and Views CALayer Parallel Hierarchies Layer Capabilities Working with Layers Summ
包含Markéta Dubská的两篇paper：《Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points》《PClines – Line Detection Using Parallel Coordinates》以及matlab测试代码
https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/ Deep Learning: Recurrent Neural Networks in Python GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences Created by Lazy Programmer Inc. Last
Abstract. Given a map f : M ! N of closed topological manifolds we define torsion obstructions whose vanishing is a necessary condition for f being homotopy equivalent to a projection of a locally trivial fiber bundle. If N = S1, these torsion obstr
We propose an algorithm to predict room layout from a single image that generalizes across panoramas and perspective images, cuboid layouts and more general layouts (e.g. “L”-shape room). Our method operates directly on the panoramic image, rather t
An approach for the three-dimensional (3D) reconstruction of architectural scenes from two un-calibrated images is described in this paper. From two views of one architectural structure, three pairs of corresponding vanishing points of three major mu
In order to broaden the scope of application and ensure the calibration precision, a new method of linear calibration by making fully use of vanishing point attributes is proposed. The method dose not need any rigorous restrictions, and solves the se
