In Computer Vision, Image Processing, Artificial Intelligence and
Neural Networks object recognition is one of the most successful
applications of image or object analysis and understanding.The
recognition system typically involves some sort of sensor, the use
of a model database in which all the objects "models"
representations are saved, and a decision-making ability.When a
sensor views an object the digitized image is processed so as to
represent it in the same way as the models are represented in the
databases.Then a recognition algorithm tries to find the model to
which the object best matches.For the view-based recognition, the
representations take into account the appearance of the object. To
achieve 3D Object recognition(3DOR) the pose of objects are also
saved in the database.In general two 3DOR techniques. They are
Geometric feature-based approach and Appearance- based approach.The
geometric feature-based approach uses properties of shape of object
i.e. lines, curves, and vertices for object recognition
descriptions.But appearance-based 3DOR is the combined effects of
objects shape, reflectance properties, pose and the illumination.
General
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