An algorithm for registering a camera image with a database image
Project description
This module is a pure-Python implementation of the Iterative
Closest Point algorithm for registering a camera image with a
database image.
An application scenario would be the registration of an image recorded by a
UAV-mounted camera flying over a terrain with an image extracted from GIS
(Geographical Information System) database.
Typical usage syntax:
import ICP
icp = ICP(
model_image = "modelterrain.jpg",
data_image = "cameraimage.jpg",
binary_or_color = "color",
iterations = 40,
connectivity_threshold = 5,
output_image_size = 100,
display_step = 1,
debug = 1 )
icp.icp()
icp.display_results()
The module also includes a static method gendata() to illustrate how
one can create simple synthetic images to experiment with the code.
A call to this method looks like
import ICP
ICP.gendata()
Closest Point algorithm for registering a camera image with a
database image.
An application scenario would be the registration of an image recorded by a
UAV-mounted camera flying over a terrain with an image extracted from GIS
(Geographical Information System) database.
Typical usage syntax:
import ICP
icp = ICP(
model_image = "modelterrain.jpg",
data_image = "cameraimage.jpg",
binary_or_color = "color",
iterations = 40,
connectivity_threshold = 5,
output_image_size = 100,
display_step = 1,
debug = 1 )
icp.icp()
icp.display_results()
The module also includes a static method gendata() to illustrate how
one can create simple synthetic images to experiment with the code.
A call to this method looks like
import ICP
ICP.gendata()
