Results 31 to 40 of about 14,258 (262)
Neural Scene Representations for 3D Reconstruction and Scene Understanding
In an era where machines are increasingly integrated into our daily lives, their ability to perceive and understand the three-dimensional world becomes of great importance. Central to this capability is the scene representation, which translates sensory data into compact, detailed, and holistic descriptions of the environment.
openaire +2 more sources
TRACE: Instance-Level Open-Vocabulary Inventory Generation for 3D Forensic Evidence Reconstruction [PDF]
State of the art crime scene documentation not only relies on visually and geometrically faithful 3D reconstruction, but also structured access to potentially relevant evidentiary objects.
F. Eichinger +5 more
doaj +1 more source
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
doaj +1 more source
Boundary-Aware graph Markov neural network for semiautomated object segmentation from point clouds
Due to the advantages of 3D point clouds over 2D optical images, the related researches on scene understanding in 3D point clouds have been increasingly attracting wide attention from academy and industry.
Huan Luo +6 more
doaj +1 more source
KNA-SG: Keyframe–Node-Associated Open-Vocabulary 3D Scene Graphs from RGB Sequences
3D scene graphs organize objects and their relationships in a scene into structured representations, providing an interpretable and queryable foundation for relational reasoning and object grounding.
Yangbin Xu +4 more
doaj +1 more source
S2PT: Spatio-Sequential Point Transformer for Efficient 3D Scene Understanding [PDF]
Efficient processing of large-scale 3D point clouds acquired from Terrestrial or Airborne Laser Scanning (TLS/ALS) presents a significant computational challenge.
Y. Shen +5 more
doaj +1 more source
Semantic Scene Completion With 2D and 3D Feature Fusion
3D semantic scene completion (SSC) aims to get a dense semantic understanding of an environment in 3D. It requires a geometric and semantic knowledge of the surrounding environment and the filling of void areas.
Sang-Min Park, Jong-Eun Ha
doaj +1 more source
Progressive Camera-LiDAR Adaptation for Scene Flow Estimation [PDF]
3D scene flow aims to recover the dense geometry and 3D motion of dynamic scenes. This paper explores the transformation and adaptation of the 2D-3D feature space in the joint estimation of optical flow and scene flow.
T. Han +6 more
doaj +1 more source
A Unified Framework for 3D Scene Understanding
Accepted to NeurIPS 2024.
Wei Xu 0037 +5 more
openaire +3 more sources
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source

