Yes, several excellent books provide comprehensive insights into computer vision, catering to different expertise levels. For beginners, Learning OpenCV 4 by Adrian Kaehler and Gary Bradski is a great starting point. It introduces practical applications and hands-on projects using the OpenCV library. For a more theoretical approach, Computer Vision: Algorithms and Applications by Richard Szeliski is a widely recommended textbook that covers fundamental concepts and algorithms in computer vision. Advanced learners can explore Deep Learning for Computer Vision by Rajalingappaa Shanmugamani or Deep Learning for Vision Systems by Mohamed Elgendy, which focus on using deep learning frameworks like TensorFlow and PyTorch for computer vision tasks. These books not only explain the underlying principles but also provide practical examples, making them valuable resources for students, researchers, and professionals.
Is there any good books on computer vision?
- Large Language Models (LLMs) 101
- Vector Database 101: Everything You Need to Know
- Natural Language Processing (NLP) Advanced Guide
- The Definitive Guide to Building RAG Apps with LlamaIndex
- Advanced Techniques in Vector Database Management
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
What is the purpose of the DISTINCT keyword?
The DISTINCT keyword is used in SQL queries to eliminate duplicate rows from the result set. When you retrieve data from
How do relational databases handle NULL values?
Relational databases handle NULL values as a specific marker to indicate that a data value is unknown, missing, or not a
What is the difference between OLTP and OLAP in relational databases?
OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) are two distinct types of systems used in r