Various embodiments utilize geometric hashing to automatically recognize and track and an object. For example, a user can capture an image of a product, or other object, and a point detection algorithm can identify particular features of the product and designate feature points of the product within the captured image. Hash values are then determined for each feature point by determining a basis for the image and determining the location of each feature point relative to that basis. A hash table including the identified hash values is then created and compared to hash values for either a stored product when performing object recognition or from a reference image when performing object tracking.