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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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Vision–language guided semantic-geometric transformer for memory-efficient 3D scene understanding [PDF]
Frontiers in Artificial IntelligenceRecent 3D Transformers have become a dominant framework for point-cloud segmentation by modeling spatial context in sparse 3D scenes. However, geometry and color alone provide limited high-level semantic cues, especially for cluttered boundary regions ...
Licheng Liu, Yu Li, Fuyong Liu
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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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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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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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Multimodal Scene Editing Algorithm Integrating CLIP and 3D Gaussian [PDF]
Zhengzhou Daxue xuebao. Gongxue banTo address the issues of excessive reliance on annotated data and high computational complexity in 3D scene editing algorithms, in this study a multimodal scene editing method named CLIP2Gaussian was proposed, which integrated CLIP with 3D Gaussian ...
CAO Yangjie +4 more
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Automatic Dense Annotation for Monocular 3D Scene Understanding
IEEE Access, 2020 Deep neural networks have revolutionized many areas of computer vision, but they require notoriously large amounts of labeled training data. For tasks such as semantic segmentation and monocular 3d scene layout estimation, collecting high-quality ...
Md Alimoor Reza +4 more
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Mathematics, 2023 In the rapidly emerging era of untact (“contact-free”) technologies, the requirement for three-dimensional (3D) virtual environments utilized in virtual reality (VR)/augmented reality (AR) and the metaverse has seen significant growth, owing to their ...
Jisun Park, Kyungeun Cho
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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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Biomimetics, 2023 Geometric–semantic scene understanding is a spatial intelligence capability that is essential for robots to perceive and navigate the world. However, understanding a natural scene remains challenging for robots because of restricted sensors and time ...
Chi Zhang +6 more
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