Results 41 to 50 of about 9,013,010 (294)
Data-Driven Scene Understanding from 3D Models
In this paper, we propose a data-driven approach to leverage repositories of 3D models for scene understanding. Our ability to relate what we see in an image to a large collection of 3D models allows us to transfer information from these models, creating
Scott Satkin (5400140) +2 more
core +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Sequential selection and calibration of video frames for 3D outdoor scene reconstruction
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 +5 more
doaj +1 more source
Multi-frame scene-flow estimation using a patch model and smooth motion prior [PDF]
This paper addresses the problem of estimating the dense 3D motion of a scene over several frames using a set of calibrated cameras. Most current 3D motion estimation techniques are limited to estimating the motion over a single frame, unless a strong ...
Bhalerao, Abhir +2 more
core
Biohybrid Crawling Robot With Spiral‐Spring Backbone and Inclined Legs for Enhanced Locomotion
We present a biohybrid crawling robot integrating a muscle ring with a flexible skeleton combining two complementary structural elements. The spiral‐spring backbone enables large‐amplitude bending without compromising axial stability, while outward‐inclined legs with unequal front–rear lengths effectively convert deformation into directional strides ...
Tomohiro Morita +2 more
wiley +1 more source
Semantic 3D Gaussian Splatting: A State-of-the-Art Review
3D Gaussian splatting (3DGS) has recently emerged as an efficient and scalable method for high-fidelity 3D scene reconstruction, representation, and real-time rendering.
Jakub Flotyński
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
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +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
An algorithm designed for analysis and understanding a 3D urban-type environment by an autonomous flying agent, equipped only with a monocular vision, is presented.
Andrzej Bielecki, Piotr Śmigielski
doaj +1 more source

