Cluttered indoor scene modeling via functional part-guided graph matching

2016 ◽  
Vol 43 ◽  
pp. 82-94 ◽  
Author(s):  
Jun Wang ◽  
Qian Xie ◽  
Yabin Xu ◽  
Laishui Zhou ◽  
Nan Ye
Keyword(s):  
Graph Matching ◽  
Scene Modeling ◽  
Indoor Scene ◽  
Functional Part

scholarly journals Shallow2Deep: Indoor scene modeling by single image understanding

2020 ◽  
Vol 103 ◽  
pp. 107271 ◽  
Author(s):  
Yinyu Nie ◽  
Shihui Guo ◽  
Jian Chang ◽  
Xiaoguang Han ◽  
Jiahui Huang ◽  
...  
Keyword(s):  
Image Understanding ◽  
Scene Modeling ◽  
Single Image ◽  
Indoor Scene

scholarly journals INDOOR ROUTE PLANNING UNDER HEXAGON NETWORK CONSIDERING MULTI-CONSTRAINS

2018 ◽  
Vol XLII-4 ◽  
pp. 693-696
Author(s):  
W. Wang ◽  
T. Ai ◽  
C. Gong
Keyword(s):  
Data Model ◽  
Route Planning ◽  
Multiple Constraints ◽  
Scene Modeling ◽  
A Algorithm ◽  
Indoor Scene ◽  
Route Finding ◽  
Spatial Geometry ◽  
Organic Combination ◽  
The Impact

<p><strong>Abstract.</strong> Indoor route planning, affected by many constraints, needs to take consideration of both the spatial geometry, environmental attribute information of the scene and the application preferences. Thus, it requires a data model that can integrate multiple constraints to model the indoor scene; meanwhile, it’s also necessary to take into account the isotropic features of the indoor pathfinding behavior and the superposition analysis of multi-constraint conditions by the route-finding algorithm. Based on this, this paper proposes a multi-factor constrained A* algorithm model based on the hexagonal grid, that is using an isotropic regular hexagon to model an indoor scene, and taking constraint conditions as heuristic factors to guide the route-finding algorithm so as to get the route. Based on this model, distance, recognition and pedestrian density are used as examples to illustrate the impact of constraints on route planning and their organic combination with scene modeling and route-finding algorithms. The experimental results show that this scheme can effectively take into account the constraints such as distance, landmark strength, and pedestrian heat, thus providing a route that is more in line with the application preferences.</p>

Automatic 3D Indoor Scene Modeling from Single Panorama

2018 ◽  
Author(s):  
Yang Yang ◽  
Shi Jin ◽  
Ruiyang Liu ◽  
Sing Bing Kang ◽  
Jingyi Yu
Keyword(s):  
Scene Modeling ◽  
Indoor Scene

scholarly journals 3D indoor scene modeling from RGB-D data: a survey

2015 ◽  
Vol 1 (4) ◽  
pp. 267-278 ◽  
Author(s):  
Kang Chen ◽  
Yu-Kun Lai ◽  
Shi-Min Hu
Keyword(s):  
Scene Modeling ◽  
Indoor Scene

Indoor scene modeling from a single image using normal inference and edge features

2017 ◽  
Vol 33 (10) ◽  
pp. 1227-1240 ◽  
Author(s):  
Mingming Liu ◽  
Yanwen Guo ◽  
Jun Wang
Keyword(s):  
Scene Modeling ◽  
Single Image ◽  
Indoor Scene ◽  
Edge Features

scholarly journals Single image-based data-driven indoor scene modeling

2015 ◽  
Vol 53 ◽  
pp. 210-223 ◽  
Author(s):  
Yan Zhang ◽  
Zicheng Liu ◽  
Zheng Miao ◽  
Wentao Wu ◽  
Kai Liu ◽  
...  
Keyword(s):  
Data Driven ◽  
Scene Modeling ◽  
Single Image ◽  
Indoor Scene

Improved 3D Scene Modeling for Image Registration in Change Detection

2019 ◽  
Vol 2019 (7) ◽  
pp. 465-1-465-7
Author(s):  
Sjors van Riel ◽  
Dennis van de Wouw ◽  
Peter de With
Keyword(s):  
Image Registration ◽  
Change Detection ◽  
Scene Modeling ◽  
3D Scene

User Manual and Installation Guide for the Graph Matching Toolkit (GMT) Version 1.0

2014 ◽  
Author(s):  
Heather Roy ◽  
Kirk Ogaard ◽  
Sue Kase
Keyword(s):  
Graph Matching
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