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Computer vision for autonomous vehicles: Problems, datasets and state of the art
Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
Multi-view stereo: A tutorial
This tutorial presents a hands-on view of the field of multi-view stereo with a focus on
practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D …
practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D …
Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
P Wang, L Liu, Y Liu, C Theobalt, T Komura… - ar**: Toward the robust-perception age
Simultaneous localization and map** (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …
model of the environment (the map), and the estimation of the state of the robot moving …
Learning a multi-view stereo machine
We present a learnt system for multi-view stereopsis. In contrast to recent learning based
methods for 3D reconstruction, we leverage the underlying 3D geometry of the problem …
methods for 3D reconstruction, we leverage the underlying 3D geometry of the problem …
Deep marching cubes: Learning explicit surface representations
Existing learning based solutions to 3D surface prediction cannot be trained end-to-end as
they operate on intermediate representations (eg, TSDF) from which 3D surface meshes …
they operate on intermediate representations (eg, TSDF) from which 3D surface meshes …
A survey of surface reconstruction from point clouds
M Berger, A Tagliasacchi, LM Seversky… - Computer graphics …, 2017 - Wiley Online Library
The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …
The traditional problem addressed by surface reconstruction is to recover the digital …
Hierarchical surface prediction for 3d object reconstruction
Recently, Convolutional Neural Networks have shown promising results for 3D geometry
prediction. They can make predictions from very little input data such as a single color …
prediction. They can make predictions from very little input data such as a single color …