Paper-05 | Reg. No.:20130905|DOI:V2I2P05
AUGMENTED REALITY LEARNING SYSTEM WITH CONTOUR ANALYSIS
Mrs. Namrata S. Mandvikar, Mrs.Snita Jadhav – SCOE, Mumbai University, Maharashtra, India
Augmented reality (AR) has been increasingly applied in various fields. It is a new technique of the computer vision application used to facilitate interaction in the digital arts. Augmented Reality (AR) employs computer vision, image processing and computer graphics techniques to merge digital content into the real world. It enables real time interaction between the user, real objects and virtual objects. We have discussed here different analysis methods for processing an image with more emphasis given on contour analysis. As Contour Analysis allows to describe, store, compare and find the object presented in the form of exterior outlines, solve the main problems of a pattern recognition – transposition, turn and a rescaling of the image of object. CA methods are invariant to these transformations. It provides more realistic interaction. It is an advance method and could be a promising technology for motivating users to engage in learning systems.