Results 1 to 10 of about 7,519,950 (294)

PesRec: A parametric estimation method for indoor semantic scene reconstruction from a single image

International Journal of Applied Earth Observations and Geoinformation
Reconstructing semantic indoor scenes is a challenging task in augmented and virtual reality. The quality of scene reconstruction is limited by the complexity and occlusion of indoor scenes.
Xingwen Cao, Xueting Zheng, Hongwei Zheng, Xi Chen, Anming Bao, Ying Liu, Tie Liu, Haoran Zhang, Muhua Zhao, Zichen Zhang   +9 more
doaj   +1 more source

Sequential selection and calibration of video frames for 3D outdoor scene reconstruction

CAAI Transactions on Intelligence Technology
3D scene understanding and reconstruction aims to obtain a concise scene representation from images and reconstruct the complete scene, including the scene layout, objects bounding boxes and shapes. Existing holistic scene understanding methods primarily
Weilin Sun, Manyi Li, Peng Li, Xiao Cao, Xiangxu Meng, Lei Meng   +5 more
doaj   +1 more source

MuRelSGG: Multimodal Relationship Prediction for Neurosymbolic Scene Graph Generation

IEEE Access
Neurosymbolic Scene Graph Generation (SGG) is a promising approach that jointly leverages the perception capabilities of deep neural networks and the reasoning capabilities of symbolic techniques for scene understanding and visual reasoning.
Muhammad Junaid Khan, Adil Masood Siddiqui, Hamid Saeed Khan, Faisal Akram, M. Jaleed Khan   +4 more
doaj   +1 more source

Virtual Experience Toolkit: An End-to-End Automated 3D Scene Virtualization Framework Implementing Computer Vision Techniques

Sensors
Virtualization plays a critical role in enriching the user experience in Virtual Reality (VR) by offering heightened realism, increased immersion, safer navigation, and newly achievable levels of interaction and personalization, specifically in indoor ...
Pau Mora, Clara Garcia, Eugenio Ivorra, Mario Ortega, Mariano L. Alcañiz   +4 more
doaj   +1 more source

Bi-SGL: Bidirectional, Spatially Grounded, and Language-Informed Framework for Semantic Scene Completion

IEEE Access
Semantic scene completion (SSC) requires a model to infer both the geometry and semantic labels of a complete 3D scene from partial point cloud observations.
Houda Saffi, Naima Otberdout, Amal El Fallah Seghrouchni   +2 more
doaj   +1 more source

DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding

IEEE Access
The safe implementation and adoption of Autonomous Vehicle (AV) vision models on public roads requires not only an understanding of the natural environment comprising pedestrians and other vehicles but also the ability to reason about edge situations ...
John Owusu Duah, Armstrong Aboah, Stephen Osafo-Gyamfi   +2 more
doaj   +1 more source

DRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding

IEEE Access
Traffic accidents frequently lead to fatal injuries, claiming millions of lives every year. To mitigate driving hazards and ensure personal safety, it is crucial to assist vehicles in anticipating the objects in the traffic scene (treated here as ...
Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda   +5 more
doaj   +1 more source

AMCA-SGG: Adaptive multi-prototype learning and cross-modal alignment for unbiased scene graph generation

Journal of King Saud University: Computer and Information Sciences
Scene graph generation (SGG) aims to detect objects and recognize their semantic relationships from images, serving as an important bridge between visual perception and high-level semantic understanding. Existing debiasing methods primarily address inter-
Jinhao Fan, Yuanhao Xi, Chuanping Hu, Ramin Yahyapour   +3 more
doaj   +1 more source

Prediction of scene plausibility

Computational Visual Media
Understanding the 3D world from 2D images involves more than detection and segmentation of the objects within the scene. It also includes the interpretation of the structure and arrangement of the scene elements.
Or Nachmias, Ohad Fried, Ariel Shamir
doaj   +1 more source

Enabling High-Level Worker-Centric Semantic Understanding of Onsite Images Using Visual Language Models with Attention Mechanism and Beam Search Strategy

Buildings
Visual information is becoming increasingly essential in construction management. However, a significant portion of this information remains underutilized by construction managers due to the limitations of existing image processing algorithms.
Hui Deng, Kejie Fu, Binglin Yu, Huimin Li, Rui Duan, Yichuan Deng, Jia-rui Lin   +6 more
doaj   +1 more source