3D Deep Learning & Computer Vision Book Series
From Theory to Production-Ready Code
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📘 Inside Every Book
🔍 Algorithm Explanations – Understand the core logic
💻 Implementation – Follow practical, code-ready steps
⚙️ Optimization – Improve performance and precision
📊 Result Analysis – Evaluate outcomes with clarity
🌐 Applications – See how it's used in the real world
🚧 Challenges – Learn common pitfalls and how to overcome them
📚 Available in Kindle & Hardcopy Formats
📁 Dataset · 🧑💻 Source Code · 📊 Results on GitHub
📚 Published Books on 3D Computer Vision & 3D Deep Learning
Point Cloud & Mesh Processing for 3D Computer Vision – Hands-On Guide
Learn Point Cloud Processing and Analysis.
Tools: Python, Numpy, Matplotlib, OpenCV, PIL, Scikit-Learn, Open3D, PyntCloud, Meshio, Plyfile
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Advanced Point Cloud Processing & Mesh Processing for 3D Computer Vision – Hands-On Guide
Learn Advanced Point Cloud Processing Techniques.
Tools: Python, Numpy, Matplotlib, OpenCV, PIL, Scikit-Learn, Open3D, PyntCloud, Meshio, Plyfile
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Point Cloud 3D Reconstruction – Hands-On Guide
Learn different 3D Point Cloud Reconstruction algorithms and techniques.
Tools: Python, Numpy, Matplotlib, OpenCV, Open3D, PyntCloud, MeshIO
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3D Deep Learning
Learn 3D Deep Learning for Point Cloud Processing and Analysis.
Tools: Python, Numpy, Matplotlib, OpenCV, PIL, Scikit-Learn, Open3D, PyntCloud, Meshio, Plyfile, Keras, PyTorch, PyTorch3D
📦 Available Soon
Advanced 3D Deep Learning
Learn Advanced 3D Deep Learning Architectures.
Tools: Python, Numpy, Matplotlib, OpenCV, PIL, Scikit-Learn, Open3D, PyntCloud, Meshio, Plyfile, Keras, PyTorch, PyTorch3D
📦 Available Soon