Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms.
Valentino PelusoAntonio CipollettaAndrea CalimeraMatteo PoggiFabio TosiStefano MattocciaPublished in: DATE (2019)
Keyphrases
- energy efficient
- depth estimation
- monocular images
- depth cues
- stereo vision
- depth map
- wireless sensor networks
- energy consumption
- sensor networks
- depth information
- stereo matching
- depth estimates
- real scenes
- dynamic scenes
- scene understanding
- image sequences
- super resolution
- semi supervised
- energy efficiency
- routing protocol
- base station
- stereo pair
- sensor nodes
- feature matching
- pose estimation
- routing algorithm
- multi view
- disparity map
- object recognition
- depth from defocus
- augmented reality
- specular reflection
- stereo images
- data sets