GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding. Learning-based monocular depth estimation leverages geometric priors present in the training data to enable metric depth perception from a single image, a traditionally ill-posed problem.
Dec 10, 2023
Dec 10, 2023 · In this paper, we challenge this trend and introduce GenDepth, a novel model capable of performing metric depth estimation for arbitrary vehicle ...
Given camera parameters, the proposed module gener- ates the ground depth, which is stacked with the input im- age and referenced in the final depth prediction.
Dec 10, 2023 · GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding · no code implementations • 10 ...
Given camera parameters, our module generates the ground depth, which is stacked with the input image and referenced in the final depth prediction. A ground ...
Missing: GenDepth: Arbitrary via Plane
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How to estimate depth from a monocular camera?
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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.
2024. GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding. K Koledić, L Petrović, I Petrović, I ...
Dec 10, 2023 · Learning-based monocular depth estimation leverages geometric priors present in the training data to enable metric depth perception from a ...
2024. GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding. K Koledić, L Petrović, I Petrović, I ...
This paper aims to reconstruct hundreds of people's 3D poses, shapes, and locations from a single image with unknown camera parameters.