Recovering Homography from Camera Captured Documents using Convolutional Neural Networks.
Syed Ammar AbbasSibt ul HussainPublished in: CoRR (2017)
Keyphrases
- convolutional neural networks
- camera motion
- ground plane
- homography estimation
- intrinsic parameters
- document collections
- combining information from multiple
- captured images
- transformation matrix
- surveillance cameras
- scene structure
- field of view
- planar scenes
- convolutional network
- epipolar geometry
- fundamental matrices
- vision system
- information retrieval systems
- xml documents
- consistent labeling
- camera calibration
- multi view
- structure from motion
- information retrieval
- optical center
- circular points
- projective reconstruction
- autocalibration
- fundamental matrix
- focal length
- multiple cameras
- image sequences
- feature points
- uncalibrated images
- stereo camera
- position and orientation
- moving objects
- camera parameters
- d scene
- multiple views