Depth And Camera Motion

13 papers with code • 0 benchmarks • 1 datasets

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DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented Reality

googlesamples/arcore-depth-lab 22 Oct 2020

Slow adoption of depth information in the UX layer may be due to the complexity of processing depth data to simply render a mesh or detect interaction based on changes in the depth map.

742
22 Oct 2020

Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry

guangmingw/DOPlearning arXiv 2020

In the occluded region, as depth and camera motion can provide more reliable motion estimation, they can be used to instruct unsupervised learning of optical flow.

81
02 Mar 2020

Improving Self-Supervised Single View Depth Estimation by Masking Occlusion

schelv/monodepth2 29 Aug 2019

In this work we introduce occlusion mask, a mask that during training can be used to specifically ignore regions that cannot be reconstructed due to occlusions.

2
29 Aug 2019

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

JiawangBian/SC-SfMLearner-Release NeurIPS 2019

To the best of our knowledge, this is the first work to show that deep networks trained using unlabelled monocular videos can predict globally scale-consistent camera trajectories over a long video sequence.

713
28 Aug 2019

Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes

hkashyap/SparseMotion 9 Mar 2019

Dynamic scenes that contain both object motion and egomotion are a challenge for monocular visual odometry (VO).

5
09 Mar 2019

DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

vt-vl-lab/DF-Net ECCV 2018

We present an unsupervised learning framework for simultaneously training single-view depth prediction and optical flow estimation models using unlabeled video sequences.

210
05 Sep 2018

BA-Net: Dense Bundle Adjustment Network

frobelbest/BANet 13 Jun 2018

The network first generates several basis depth maps according to the input image and optimizes the final depth as a linear combination of these basis depth maps via feature-metric BA.

292
13 Jun 2018

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Huangying-Zhan/Depth-VO-Feat CVPR 2018

Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approaches treat the tasks in a supervised manner.

345
11 Mar 2018

Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints

tensorflow/models CVPR 2018

We present a novel approach for unsupervised learning of depth and ego-motion from monocular video.

76,522
15 Feb 2018