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   Articles with "single view" as a keyword



Advanced unsupervised learning: a comprehensive overview of multi-view clustering techniques

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recommendations! Published in 2025 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-025-11240-8

Abstract: Machine learning techniques face numerous challenges to achieve optimal performance. These include computational constraints, the limitations of single-view learning algorithms and the complexity of processing large datasets from different domains, sources or views. In this… read more here.

Keywords: view; unsupervised learning; view clustering; single view ... See more keywords

Mapping 3-D classroom seats based on partial object point cloud completion

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recommendations! Published in 2024 at "Cartography and Geographic Information Science"

DOI: 10.1080/15230406.2024.2320150

Abstract: ABSTRACT 3-D classroom seating information is of great significance in a host of planning contexts including indoor navigation and facility management. Mapping classroom 3-D seats based on a single-view LiDAR scan is challenging because of… read more here.

Keywords: view lidar; classroom; navigation; point ... See more keywords

Learning Camera Parameters With Weighted Edge Attention From Single-View Images

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3246260

Abstract: This paper presents a novel Deep Learning (DL) model that estimates camera parameters, including camera rotations, field of view, and distortion parameter, from single-view images. The classical approach often analyzes geometric cues such as vanishing… read more here.

Keywords: view images; camera; camera parameters; single view ... See more keywords

PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3561055

Abstract: Panoramic images offer a comprehensive spatial view that is crucial for indoor robotics tasks such as visual room rearrangement, where an agent must restore objects to their original positions or states. Unlike existing 2D scene… read more here.

Keywords: scene; scene change; change understanding; single view ... See more keywords

CNN-Based Large Area Pixel-Resolution Topography Retrieval From Single-View LROC NAC Images Constrained With SLDEM

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recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3214926

Abstract: The production of high-resolution digital terrain models (DTMs) based on images is often hampered by the lack of appropriate stereo observations. Here, we propose a deep learning-based reconstruction of pixel-resolution DTMs from Lunar Reconnaissance Orbiter… read more here.

Keywords: pixel resolution; topography; area; pixel ... See more keywords

A Relation Aware and Edge Preserving Height Refinement Network for Single-View Height Estimation From Remote Sensing Images

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3567064

Abstract: The height information of different semantic objects is crucial for urban understanding and three-dimensional (3-D) reconstruction. Fine-grained height maps provide essential details for localization, mapping, and 3-D modeling. However, single-view height estimation from remote sensing… read more here.

Keywords: relation; edge; height estimation; estimation ... See more keywords

Morphological-Priors-Guided Network With Semantic Booster and Scalable Bins Module for Height Estimation From Single-View Remote Sensing Images

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3582823

Abstract: Geographic height information describes the vertical spatial structure of the city and serves as important foundational data for urban management. Obtaining height information from single-view remote sensing images is a relatively low-cost and convenient approach.… read more here.

Keywords: morphological priors; remote sensing; height estimation; view remote ... See more keywords
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Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3142915

Abstract: Uncertainty quantification is essential for robotic perception, as overconfident or point estimators can lead to collisions and damages to the environment and the robot. In this letter, we evaluate scalable approaches to uncertainty quantification in… read more here.

Keywords: single view; deep neural; neural networks; depth ... See more keywords

SymmetryGrasp: Symmetry-Aware Antipodal Grasp Detection From Single-View RGB-D Images

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3214785

Abstract: Symmetry is ubiquitous in everyday objects. Humans tend to grasp objects by recognizing the symmetric regions. In this letter, we investigate how symmetry could boost robotic grasp detection. To this end, we present a learning-based… read more here.

Keywords: grasp; grasp detection; symmetry; view rgb ... See more keywords

Robot Dexterous Grasping in Cluttered Scenes Based on Single-View Point Cloud

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recommendations! Published in 2025 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2025.3575097

Abstract: Grasping is a basic but challenging task in intelligent robotic manipulation, and grasping pose detection is the key in this task. Most current work is shifting from 2D planar grasping to more flexible six-degree-of-freedom (6-DoF)… read more here.

Keywords: cluttered scenes; grasping; grasping cluttered; single view ... See more keywords

OnionNet: Single-view Depth Prediction and Camera Pose Estimation for Unlabelled Video

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recommendations! Published in 2020 at "IEEE Transactions on Cognitive and Developmental Systems"

DOI: 10.1109/tcds.2020.3042521

Abstract: In real scenes, humans can easily infer their positions and distances from other objects with their own eyes. To make the robots have the same visual ability, this paper presents an unsupervised OnionNet framework, including… read more here.

Keywords: view depth; single view; view; pose estimation ... See more keywords