The goal of this project is to create panoramic mosaics given a set of images taken with a digital camera from a single viewpoint. A standard compact camera typically has a field of view 35 x 50 degrees. Mosaicing techniques offer the chance to "stitch" images together seamlessly to create a single image with a large field of view, up to 360 degrees. The project will tackle the creation of cylindrical and spherical mosaics.

Adding computer generated objects to a video sequence is a topic that has recently attracted much interest in Computer Vision research. This technique, known as Augmented Reality, can be applied to fields as different as medical imaging (image guided surgery), games, special effects or urban planning applications. To add computer generated objects to an image sequence seamlessly it is essential to compute the location of the camera as well as its optical properties. This process is generically known as camera calibration. In this project you will take a video sequence with a standard camera, calibrate it and then and add a computer generated object (such as a car, a sofa or chair) to the scene.

The goal of this project is to take a sequence of a scene with a standard video camera and then perform a 3D reconstruction of the scene. This will involve finding corresponding feature points along the image sequence to work out where the camera was when it took each of the images in the sequence.