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$${L_q}$$ -Closest-Point to Affine Subspaces Using the Generalized Weiszfeld Algorithm
Springer Science and Business Media LLC - Tập 114 - Trang 1-15 - 2015
This paper presents a method for finding an
$$L_q$$
-closest-point to a set of affine subspaces, that is a point for which the sum of the q-th power of orthogonal distances to all the subspaces is minimized, where
...... hiện toàn bộ
3DNN: 3D Nearest Neighbor
Springer Science and Business Media LLC - Tập 111 - Trang 69-97 - 2014
In this paper, we describe a data-driven approach to leverage repositories of 3D models for scene understanding. Our ability to relate what we see in an image to a large collection of 3D models allows us to transfer information from these models, creating a rich understanding of the scene. We develop a framework for auto-calibrating a camera, rendering 3D models from the viewpoint an image was tak...... hiện toàn bộ
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
Springer Science and Business Media LLC - Tập 72 - Trang 107-132 - 2006
This work presents an automatic algorithm for extracting vectorial land registers from altimetric data in dense urban areas. We focus on elementary shape extraction and propose a method that extracts rectangular buildings. The result is a vectorial land register that can be used, for instance, to perform precise roof shape estimation. Using a spatial point process framework, we model towns as conf...... hiện toàn bộ
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
Springer Science and Business Media LLC - Tập 68 - Trang 145-162 - 2006
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Shah functional. The core of our model is an energy functional composed by three complementary terms. The first one is based on a shape model which constrains the active contour to get a shape of interest. The second term d...... hiện toàn bộ
3D Scene Reconstruction from Multiple Spherical Stereo Pairs
Springer Science and Business Media LLC - Tập 104 - Trang 94-116 - 2013
We propose a 3D environment modelling method using multiple pairs of high-resolution spherical images. Spherical images of a scene are captured using a rotating line scan camera. Reconstruction is based on stereo image pairs with a vertical displacement between camera views. A 3D mesh model for each pair of spherical images is reconstructed by stereo matching. For accurate surface reconstruction, ...... hiện toàn bộ
Color Subspaces as Photometric Invariants
Springer Science and Business Media LLC - Tập 79 Số 1 - Trang 13-30 - 2008
Estimation of Near-Instance-Level Attribute Bottleneck for Zero-Shot Learning
Springer Science and Business Media LLC - - 2024
Zero-Shot Learning (ZSL) involves transferring knowledge from seen classes to unseen classes by establishing connections between visual and semantic spaces. Traditional ZSL methods identify novel classes by class-level attribute vectors, which implies an information bottleneck. These approaches often use class-level attribute vectors as the fitting target during training, disregarding the individu...... hiện toàn bộ
Erratum to: Continuous Action Recognition Based on Sequence Alignment
Springer Science and Business Media LLC - Tập 112 - Trang 130-130 - 2014
A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems
Springer Science and Business Media LLC - - 2024
Knowledge about the own pose is key for all mobile robot applications. Thus pose estimation is part of the core functionalities of mobile robots. Over the last two decades, LiDAR scanners have become the standard sensor for robot localization and mapping. This article aims to provide an overview of recent progress and advancements in LiDAR-based global localization. We begin by formulating the pro...... hiện toàn bộ
From BoW to CNN: Two Decades of Texture Representation for Texture Classification
Springer Science and Business Media LLC - - 2019
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