  Computer vision helps machines or computer to see like humans. Computer Takes
information from the images and then understands of useful information from
images. Gesture recognition and movement recognition are the current area of
research in computer vision. For both gesture and movement recognition finding
pose of an object is of great importance. The purpose of this paper is to
review many state of art which is already available for finding the pose of
object based on shape, based on appearance, based on feature and comparison for
its accuracy, complexity and performance
