Results 11 to 20 of about 14,258 (262)
TAMC: Textual Alignment and Masked Consistency for Open-Vocabulary 3D Scene Understanding [PDF]
SensorsThree-dimensional (3D) Scene Understanding achieves environmental perception by extracting and analyzing point cloud data with wide applications including virtual reality, robotics, etc. Previous methods align the 2D image feature from a pre-trained CLIP
Juan Wang +4 more
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Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
IEEE Access, 2019 With the availability of low-cost and compact 2.5/3D visual sensing devices, computer vision community is experiencing a growing interest in visual scene understanding of indoor environments.
Muzammal Naseer +2 more
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Basic Level Scene Understanding: Categories, Attributes and Structures
Frontiers in Psychology, 2013 A longstanding goal of computer vision is to build a system that can automatically understand a 3D scene from a single image. This requires extracting semantic concepts and 3D information from 2D images which can depict an enormous variety of ...
Jianxiong eXiao +6 more
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Monte Carlo Scene Search for 3D Scene Understanding [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 We explore how a general AI algorithm can be used for 3D scene understanding to reduce the need for training data. More exactly, we propose a modification of the Monte Carlo Tree Search (MCTS) algorithm to retrieve objects and room layouts from noisy RGB-D scans.
Hampali, Shreyas +5 more
openaire +3 more sources
A Refined-Line-Based Method to Estimate Vanishing Points for Vision-Based Autonomous Vehicles
Vehicles, 2022 Helping vehicles estimate vanishing points (VPs) in traffic environments has considerable value in the field of autonomous driving. It has multiple unaddressed issues such as refining extracted lines and removing spurious VP candidates, which suffers ...
Shengyao Shen +3 more
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Language-Assisted 3D Scene Understanding
CoRR, 2023 The scale and quality of point cloud datasets constrain the advancement of point cloud learning. Recently, with the development of multi-modal learning, the incorporation of domain-agnostic prior knowledge from other modalities, such as images and text, to assist in point cloud feature learning has been considered a promising avenue.
Yanmin Wu +3 more
openaire +2 more sources
3D scene graph prediction from point clouds
Virtual Reality & Intelligent Hardware, 2022 Background: In this study, we propose a novel 3D scene graph prediction approach for scene understanding from point clouds. Methods: It can automatically organize the entities of a scene in a graph, where objects are nodes and their relationships are ...
Fanfan Wu +3 more
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Multi-View PointNet for 3D Scene Understanding [PDF]
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019 Geometry Meets Deep Learning Workshop, ICCV ...
Maximilian Jaritz +2 more
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Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 The rapid progress in 3D scene understanding has come with growing demand for data; however, collecting and annotating 3D scenes (e.g. point clouds) are notoriously hard. For example, the number of scenes (e.g. indoor rooms) that can be accessed and scanned might be limited; even given sufficient data, acquiring 3D labels (e.g. instance masks) requires
Ji Hou +3 more
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Unbiased 3D Semantic Scene Graph Prediction in Point Cloud Using Deep Learning
Applied Sciences, 2023 As a core task of computer vision perception, 3D scene understanding has received widespread attention. However, the current research mainly focuses on the semantic understanding task at the level of entity objects and often neglects the semantic ...
Chaolin Han +6 more
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