Tools

• Nvidia Tegra Android Development Pack

Tutorials

• Native Development on Nvidia Android Devices
• OpenCV Tutorials
• JNI Tutorial

Books

These are links to online versions of the books. In most cases, these are accessible only within Stanford (provided by the Stanford Libraries).

Computer Vision

• Computer Vision: Models, Learning, and Inference — Simon Prince
• Computer Vision: Algorithms and Applications — Richard Szeliski
• Multiple view geometry in computer vision — Hartley & Zisserman

OpenCV

• Android Application Programming with OpenCV
• Mastering OpenCV with Practical Computer Vision Projects
• Practical OpenCV
• Learning OpenCV

Libraries

• OpenCV: Widely used multi-platform computer vision library
• PCL: Library for working with point clouds
• libccv: Implements many modern vision algorithms (Predator, DPMs, ...)
• libCVD: Includes an optimized FAST corner detector implementation.
• VLFeat: Mature and well-documented vision library, includes MATLAB bindings.
• Sophus: Lie groups library for Eigen. Useful for SLAM / Visual Odometry.
• Caffe: Conv nets framework from Berkeley.
• DeepBeliefSDK: Conv nets for mobile platforms.