The pinhole camera simplifies the geometry but in practice it results in very dark images. Cameras, as well as our eyes, use a lens to form a brighter image but there are consequences.
Search Results for: pinhole camera
The pinhole or lensed camera is very similar to our eye, but there are lots of other ways to build a camera.
Let’s look at how light rays reflected from an object can form an image. We use the simple geometry of a pinhole camera to describe how points in a three-dimensional scene are projected on to a two-dimensional image plane.
Let’s recap the important points from the topics we have covered about image formation and perspective projection.
Vision is a ubiquitous sense and is found in almost all animals, but the number and type of eye is very diverse. We will look at examples such as compound eyes of insects, spiders, and sea creatures such as scallops and squids.
Most computers today have a built-in camera. Let’s look at how we can grab images directly from such a camera and put them in the MATLAB workspace.
The linear algebra approach we’ve discussed is very well suited to MATLAB implementation. Let’s look at some toolbox functions that can simulate what cameras do. If you are using a more recent version of MVTB, ie. MVTB 4.x then please change>> cam.project(PW ‘Tcam’, transl(0.1, 0, 0)) to >> cam.project(PW ‘pose’, transl(0.1, 0, 0)).
When a camera moves in the world, points in the image move in a very specific way. The image plane or pixel velocity is a function of the camera‘s motion and the position of the points in the world. This is known as optical flow. Let’s explore the link between camera and image motion.
The relationship between world coordinates, image coordinates and camera spatial velocity has some interesting ramifications. Some very different camera motions cause identical motion of points in the image, and some camera motions leads to no change in the image at all in some parts of the image. Let’s explore at these phenomena and how we […]
The image Jacobian depends not only on the image plane coordinates but also the distance from the camera to the points of interest. If this distance is not known, what can we do? Let’s look at how we can determine this distance, and how the optical flow equation can be rearranged to convert from observed […]