Dadhich Practical Computer Vision

Extract insightful information from images using TensorFlow, Keras, and OpenCV
1. Auflage 2018
ISBN: 978-1-78829-476-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 234 Seiten

No detailed description available for "Practical Computer Vision".

Autoren/Hrsg.

Dadhich, Abhinav

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

Table of Contents - A Fast Introduction to Computer Vision
- Libraries, Development Platform, and Datasets
- Image Filtering and Transformations in OpenCV
- What is a Feature?
- Convolutional Neural Networks
- Feature-Based Object Detection
- Segmentation and Tracking
- 3D Computer Vision
- Mathematics for Computer Vision
- Machine Learning for Computer Vision

Über Autor(innen)

Dadhich Abhinav:

Abhinav Dadhich is a Researcher and Application Developer on deep learning at Abeja Inc. Tokyo. His day is often filled with designing deep learning models for computer vision applications like image classification, object detection, segmentation etc. His passion lies in understanding and replicating human vision system. Previously, he has worked on 3D mapping and robot navigation. He has graduated with B.Tech. in EE from IIT Jodhpur, India and has done his M.Eng. in Information Science from NAIST, Japan. He puts up notes and codes for several topics on GitHub profile.