Computer vision is a research field that teaches computers to perform visual tasks such as understanding of a robot's surroundings or the ability to recognize objects. These are done through the use of sensors and algorithms.

Monocular depth estimation is a challenging but significant part of computer vision with many applications in other areas of study.

Monocular depth estimation (MDE), which is the task of using a single image to predict scene depths, has gained considerable interest, in large part owing to the popularity of applying deep learning methods to solve “computer vision ...

Depth sensing is critical for many robotic tasks such as localization, mapping and obstacle detection.

Depth estimation from single monocular images is a theoretical challenge in computer vision as well as a computational challenge in practice.

In this work we propose consistent depth estimation for viewpoint reconstruction in data-driven simulation, combining aspects of learning-based monocular depth prediction and structure-from-motion to increase temporal video depth accuracy.

This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020.

Convolutional neural networks have shown a remarkable ability to estimate depth from a single image.