The goal is to develop a software model that will train the autonomous cars to detect different weather like the snowy or clear weather. This model can be further used to change the background terrains in movies.

The SIFT algorithm takes an image and transforms it into a collection of local feature vectors. Each of these feature vectors is distinctive and invariant to any scaling, rotation or translation of the image. They are also robust with respect to noise, occlusion, some forms of affine distortion and illumination changes. The features are relatively easy to extract and are also robust to partial occlusion.