Results 21 to 30 of about 2,792,973 (280)

3D scene graph inference and refinement for vision-as-inverse-graphics [PDF]

, 2020
The goal of scene understanding is to interpret images, so as to infer the objects present in a scene, their poses and fine-grained details. This thesis focuses on methods that can provide a much more detailed explanation of the scene than ...
Romaszko, Lukasz
core   +1 more source

FAST AND ACCURATE VISIBILITY COMPUTATION IN URBAN SCENES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
This paper presents a method to efficiently compute the visibility of a 3D model seen from a series of calibrated georeferenced images. This is required to make methods aimed at enriching 3D models (finer reconstruction, texture mapping) based on such ...
B. Vallet, E. Houzay
doaj   +1 more source

Method for Generating Indoor 3D Scene Graphs Based on Instance Features and Relationship Encoding [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
A 3D scene graph is a compact and explicit representation in scene analysis. In today’s 3D scene graph prediction methods, the feature encoding method of nodes and edges is relatively simple, which essentially hinders the network from fully ...
H. Du, H. Du, H. Du, B. Cai, B. Cai, B. Cai, X. Li, X. Li, X. Li, W. Wang, W. Wang, W. Wang, S. Tang, S. Tang, S. Tang   +14 more
doaj   +1 more source

Using Articulated Scene Models for Dynamic 3D Scene Analysis in Vista Spaces [PDF]

, 2010
Beuter N, Swadzba A, Kummert F, Wachsmuth S. Using Articulated Scene Models for Dynamic 3D Scene Analysis in Vista Spaces. 3D Research. 2010;1(3): 4.In this paper we describe an efficient but detailed new approach to analyze complex dynamic scenes ...
Beuter, Niklas, Agnes Swadzba, Franz Kummert Sven, Kummert, Franz, Swadzba, Agnes, Wachsmuth, Sven ; https://orcid.org/, Franz Kummert, Niklas Beuter, Sven Wachsmuth   +8 more
core   +1 more source

Deep Generative Modeling Based on VAE-GAN for 3D Indoor Scene Synthesis

International Journal of Computer Games Technology, 2023
With the advancement of virtual reality and 3D game technology, the demand for high-quality 3D indoor scene generation has surged. Addressing this need, this paper presents a method leveraging a VAE-GAN-based framework to conquer two primary challenges ...
Shuai Li, Hongjun Li
doaj   +1 more source

Semantics-and-Primitives-Guided Indoor 3D Reconstruction from Point Clouds

Remote Sensing, 2022
The automatic 3D reconstruction of indoor scenes is of great significance in the application of 3D-scene understanding. The existing methods have poor resilience to the incomplete and noisy point cloud, which leads to low-quality results and tedious post-
Tengfei Wang, Qingdong Wang, Haibin Ai, Li Zhang   +3 more
doaj   +1 more source

INTERACTIVE 3D LANDSCAPES ON LINE [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
The paper describes challenges identified while developing browser embedded 3D landscape rendering applications, our current approach and work-flow and how recent development in browser technologies could affect.
B. Fanini, L. Calori, D. Ferdani, S. Pescarin   +3 more
doaj   +1 more source

LLM-Supervised Point Cloud Processing: From Unsupervised 3D Scene-Graph Generation to Interactive Scene Manipulation [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
We demonstrate an end-to-end pipeline for 3D scene understanding which integrates unsupervised graph-based point cloud segmentation with LLM-enabled spatial reasoning and editing.
F. Poux, F. Poux, A. Key
doaj   +1 more source

GeoSceneGraph: Geometric Scene Graph Diffusion Model for Text-guided 3D Indoor Scene Synthesis [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Methods that synthesize indoor 3D scenes from text prompts have wide-ranging applications in film production, interior design, video games, virtual reality, and synthetic data generation for training embodied agents.
A. Ruiz, A. Ruiz, T. Wu, A. Melnik, Q. Cheng, X. Wang, L. Liu, Y. Wang, Y. Zhang, H. Ritter   +9 more
doaj   +1 more source

SEMANTIC ENRICHMENT OF 3D POINT CLOUDS USING 2D IMAGE SEGMENTATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
3D point cloud segmentation is computationally intensive due to the lack of inherent structural information and the unstructured nature of the point cloud data, which hinders the identification and connection of neighboring points.
A. Rai, N. Srivastava, K. Khoshelham, K. Jain   +3 more
doaj   +1 more source