Completed
ARM is Pervasive and Open
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Tools for Mobile Photography and Computer Vision
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 NVIDIA Mobile Computer Vision
- 3 Computer Vision = New Applications
- 4 Computer Vision = Vehicle Safety
- 5 Mobile Computing on a Tear
- 6 Tegra 2 - Heterogeneous Multi-core
- 7 ARM is Pervasive and Open
- 8 TEGRA ROADMAP
- 9 OpenCV Functionality Overview Image processing
- 10 OpenCV for CUDA
- 11 Current OpenCV Cuda Functionality
- 12 OpenCV for Android
- 13 Tegra Android Development Pack
- 14 Android Apps Java Applications
- 15 OpenCV supports Java and Native
- 16 OpenCV Java API Example
- 17 The Embedded Vision Alliance
- 18 Computer Vision vs. Photography
- 19 Some computational photography apps
- 20 Mobile Computational Photography
- 21 MCP Problem 1: Lack of control & accesso
- 22 MCP Problem 2: Wrong model
- 23 The FCam Architecture
- 24 Sensor
- 25 Image Signal Processor (ISP)
- 26 Devices
- 27 Implementations
- 28 Tegra developer board
- 29 FCam: Open Source Project
- 30 Exposure metering examples
- 31 Auto White Balance
- 32 Estimating the color temperature
- 33 Contrast-based Passive Autofocus
- 34 Exposure Fusion: Simplified HDR
- 35 Implemented on N900
- 36 Lucky Imaging: Hand-held long exposures
- 37 First assignment: Autofocus - 1 week
- 38 Remote flash over Bluetooth
- 39 Interactive Photomontage
- 40 Kal-El Reference Design
- 41 FCam on Tegra: Baby steps
