Shape Matching Technique vs Bounding Volume Technique in 3D Object Picking

In this paper we present an analytical study to pick 3D objects based on their shape pointing device in a 3D environment. We adapt a 2D picking metaphor to 3D selection in 3D environments by changing the projection and view matrices according to the position and orientation of a pointing device and rendering a bounding volume to an off-screen pixel buffer. This makes it difficult for users to perform tasks that require them to select objects that have a small visible area, since small targets require high levels of precision. Both an analytical evaluation based on a 3D object picking and bounding volume technique demonstrate that progressive refinement selection can be better than shape matching technique. In this paper I focused the advantages of Shape matching technique over bounding volume technique in 3D object picking. The usefulness and effectiveness of the proposed evaluation measures are shown by reporting the performance evaluation of two techniques. We then compare the application of both techniques with related work to demonstrate that they are more suitable. These analytical studies provide distinct advantages in terms of ease of use and efficiency because they consider the tasks of object picking effective application-independent picking technique for various input devices.