Results 111 to 120 of about 28,268 (266)
CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng +5 more
wiley +1 more source
SVLGaussian: Single View Language Gaussian Splatting
ABSTRACT Open‐vocabulary 3D querying based on 3D Gaussian splatting (3DGS) shows great promise in facilitating accurate 3D query capabilities of AI systems. These methods typically rely on pre‐captured multi‐view images to enable natural language interactions with 3D scenes. In practice, when embodied AI encounters unexplored scenes, it is difficult to
Jiachen Wang +7 more
wiley +1 more source
A Specific Encoding Scheme for Genetic Stereo Correspondence Searching: Application to Obstacle Detection [PDF]
Stereo correspondence is one of the most active research areas in computer vision. It consists in identifying features in two or more stereo images that are generated by the same physical feature in the three-dimensional space.
Hazem Issa +2 more
doaj
Stereo Vision-Based Human Tracking for Robotic Follower
This paper addresses the problem of real-time vision-based human tracking to enable mobile robots to follow a human co-worker. A novel approach to combine stereo vision-based human detection with human tracking using a modified Kalman filter is presented.
Emina Petrović +3 more
doaj +1 more source
In situ aerial bioacoustic monitoring from extremely noisy drone recordings
Abstract Aerial bioacoustic monitoring has the potential to transform biodiversity surveys by enabling rapid acoustic sampling across large and inaccessible habitats. However, its application from unmanned aerial vehicles (UAVs) has remained limited because strong rotor self‐noise overwhelms target sounds such as bird vocalisations, compromising the ...
Lin Wang +2 more
wiley +1 more source
Obtaining obstacle information by an omnidirectional stereo vision system
This study describes a method to obtain obstacle information omnidirectionally by a novel omnidirectional stereo vision system. Such information is important for mobile robots navigation.
Luo CJ(罗川江) +2 more
core
Abstract Purpose To evaluate patient‐reported outcome measures (PROMs) and visual function across four groups of public cataract patients: emmetropia, mini‐monovision, monovision with partial‐range of field (RoF) narrow intraocular lenses (IOLs) and patients implanted with partial‐RoF extended IOLs.
Anne Guldhammer Skov +4 more
wiley +1 more source
Refinement of urban digital elevation models from very high resolution stereo satellite images
Digital elevation models (DEM) of high resolution and high quality are required for many applications like urban modeling, readiness for catastrophes or disaster assessment.
Reinartz, Peter, Krauß, Thomas
core
NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis +3 more
wiley +1 more source
Semiglobal Matching Results on the ISPRS Stereo Matching Benchmark
Digital surface models can be efficiently generated with automatic image matching from optical stereo images. The Working Group 4 of Commission I on "Geometric and Radiometric Modelling of Optical Spaceborne Sensors" provides a matching benchmark ...
Reinartz, Peter +3 more
core +1 more source

