Measuring Sandy Bottom Dynamics by Exploiting Depth from Stereo Video Sequences.
Rosaria E. MusumeciGiovanni Maria FarinellaEnrico FotiSebastiano BattiatoThor U. PetersenB. Mutlu SumerPublished in: ICIAP (1) (2013)
Keyphrases
- video sequences
- depth map
- depth estimation
- depth cues
- depth information
- image sequences
- stereo disparity
- stereo video
- dynamic scenes
- stereo vision
- stereo matching
- depth recovery
- real time stereo
- multi view
- view interpolation
- depth perception
- motion estimation
- stereo images
- time of flight
- depth discontinuities
- motion parallax
- computer vision
- disparity estimation
- stereoscopic video
- view synthesis
- dynamical models
- dynamic model
- dynamical systems
- d scene
- visual tracking
- long video sequences
- foreground objects
- dense depth maps
- object tracking
- camera motion
- depth data
- video camera
- stereo algorithms
- face tracking
- stereo pair
- stereo camera
- multi camera
- frame rate
- video data
- three dimensional
- high quality
- moving objects
- depth from defocus
- space time
- image pairs
- surface reconstruction
- stereoscopic images
- input image
- facial expressions
- high resolution
- disparity map
- dense depth map
- stereo reconstruction
- video segmentation