Given two images of a scene taken from slightly different viewpoints, a stereo image pair, it’s possible to determine the disparity for every pixel using template matching. The disparity image is one where the value of each pixel is inversely related to the distance between that point in the scene and the camera.
Humans have long been fascinated with seeing images and movies in ‘3D’. Let’s look at how human stereo vision works and some of the technologies used to present images to our eyes in ‘3D’.
In this video we will study about principles of Stereo vision.
This video will give you the idea of Perspective projection.
An image is a two dimensional projection of a three dimensional world. The big problem with this projection is that big distant objects appear the same size as small close objects. For people, and robots, it’s important to distinguish these different situations. Let’s look at how humans and robots can determine the scale of objects and estimate the 3D structure of the world based on 2D images.
This video teach us how to use homographies in Matlab.
We can derive a linear relationship between the coordinates of points on an arbitrary plane in the scene and the coordinate of that point in the image. This is the planar homography and it has a number of everyday uses which might surprise you.
In this video we will study modeling of camera in MATLAB.
In this video we will study Homogeneous Coordinates.
This video gives introduction to image Geometry.
Light field cameras are now commercially available and capture much more information about the rays of light reflected from the scene. This enables us to perform functions like changing the focus of an image after it has been captured.
In this video we will study different types of cameras.
In this video we will study the effects of perspective.
In this video we will study the Geometry of perspective.