Breaking the low sample rate equals low power paradigm using an event based vision approach for hand tracking in AR.
Ryan PagePaolo BaessoRory ClarkGreg BakerPublished in: SIGGRAPH Emerging Technologies (2024)
Keyphrases
- low power
- hand tracking
- low cost
- low power consumption
- power consumption
- high speed
- visual tracking
- sign language
- gesture recognition
- hand gestures
- articulated structures
- hand gesture recognition
- skin color
- stereo camera
- vision system
- computer vision
- particle filter
- real time
- articulated objects
- logic circuits
- particle filtering
- human computer interaction
- stereo vision
- object detectors
- multi view
- software engineering
- power dissipation
- cmos technology
- image processing