(a) Monocular Depth Estimation: This technique relies on a single camera and uses various computer vision algorithms to estimate depth. Some popular methods include supervised learning-based approaches, such as monocular depth prediction using deep convolutional neural networks (CNNs) trained on large datasets.
Aug 19, 2023
Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.
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Abstract: In this paper, we address the problem of reconstructing the background of a scene from a video sequence with occluding objects.
Jun 14, 2023 · This project focuses on utilizing monocular vision to estimate distances and detect objects with remarkable accuracy.
Jan 17, 2024 · The promise of depth estimation from a single image, known as Monocular Depth Estimation, is huge: without any special hardware or extra data.
Abstract. We propose a monocular depth estimation algorithm based on whole strip masking (WSM) and reliability-based refinement. First,.
Nov 4, 2022 · This paper proposes an image segmentation-based monocular depth estimation model with attention mechanisms that can address outdoor scene variations.
Apr 22, 2024 · In this paper, we propose a self-supervised nighttime monocular depth estimation method that does not use any night images during training.
Oct 28, 2023 · (a) Monocular Depth Estimation: This method estimates depth using a single camera and a variety of computer vision techniques. supervised ...
Monocular depth estimation is a fundamental challenge in computer vision and has potential applications in robotics, scene understanding, 3D reconstruction and ...
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