Results 121 to 130 of about 3,462,291 (207)
A Unified Framework for Depth-Assisted Monocular Object Pose Estimation
IEEE AccessMonocular Depth Estimation (MDE) and Object Pose Estimation (OPE) are important tasks in visual scene understanding. Traditionally, these challenges have been addressed independently, with separate deep neural networks designed for each task. However, we
Dinh-Cuong Hoang +14 more
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Towards Monocular Depth Estimation for Robot Guidance
, 2021 Human visual perception is a powerful tool to let us interact with the world, interpreting depth using both physiological and psychological cues. In the early days, machine vision was primarily inspired by physiological cues, guiding robots with bulky ...
Toschi, Marco
core
Real-time lightweight self-supervised monocular depth estimation
Journal of Measurement Science and InstrumentationMonocular depth estimation aims to predict depth information within a scene from a single RGB image, but many models remain computationally intensive for real-time inference on resource-constrained edge devices.
YANG Tianxiang +4 more
doaj
Geometry meets semantic for semi-supervised monocular depth estimation
, 2019 Depth estimation from a single image represents a very exciting challenge in computer vision. While other image-based depth sensing techniques leverage on the geometry between different viewpoints (e.g., stereo or structure from motion), the lack of ...
M. Poggi +9 more
core +1 more source
Visual Autoregressive Modelling for Monocular Depth Estimation
Proceedings of the 21st International Conference on Computer Vision Theory and ApplicationsWe propose a monocular depth estimation method based on visual autoregressive (VAR) priors, offering an alternative to diffusion-based approaches. Our method adapts a large-scale text-to-image VAR model and introduces a scale-wise conditional upsampling mechanism with classifier-free guidance. Our approach performs inference in ten fixed autoregressive
Amir El-Ghoussani +4 more
openaire +3 more sources
Lidar and Monocular Sensor Fusion Depth Estimation [PDF]
In this project, we present a novel approach to depth perception using a monocular camera by incorporating information from both RGB and LiDAR modalities.
Yue Zhu +4 more
core +1 more source
UniDepth: Universal Monocular Metric Depth Estimation
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Accurate monocular metric depth estimation (MMDE) is crucial to solving downstream tasks in 3D perception and modeling. However, the remarkable accuracy of recent MMDE methods is confined to their training domains. These methods fail to generalize to unseen domains even in the presence of moderate domain gaps, which hinders their practical ...
Piccinelli, Luigi +6 more
openaire +4 more sources
, 2022 Monocular image-based 3D perception has become an active research area in recent years owing to its applications in autonomous driving. Approaches to monocular 3D perception including detection and tracking, however, often yield inferior performance when
Cower, Dillon +13 more
core
Focusable Monocular Depth Estimation
Monocular depth foundation models generalize well across scenes, yet they are typically optimized with uniform pixel-wise objectives that do not distinguish user-specified or task-relevant target regions from the surrounding context. We therefore introduce Focusable Monocular Depth Estimation (FDE), a region-aware depth estimation task in which, given ...
Du, Yuxin +9 more
openaire +2 more sources
Applied Computer SystemsMonocular depth estimation is one of the essential tasks in computer vision as it can provide depth information from 2D images and is extremely beneficial for applications such as autonomous driving, robot navigation, etc.
Kumara Lakindu +2 more
doaj +1 more source