Analysis of Object Picking Algorithms in Non Immersive Virtual Environment

A defining feature of virtual reality is the ability to manipulate virtual objects interactively, rather than simply viewing a passiveenvironment. ‘Picking’ is an important interaction technique in graphics applications. Object picking is typically performed by bounding boxchecks or collision detection, taking the position of a virtual hand and the objects in account. We present an adaptation of object pickingalgorithm in virtual environments using shapes. Such picking algorithms have been widely used for selecting objects under a 2D mouse cursor. In this paper, we propose and analyze a method of various object picking algorithms in non immersive virtual environment and the discussion ofcomparing these algorithms and provide the usability and a picking mechanism is essential for any direct-manipulation application. A user studyof these was performed which revealed their characteristics and deficiencies, and led to the development of a new class of techniques. Theseanalytical studies provide distinct advantages in terms of ease of use and efficiency because they consider the tasks of object picking effectiveapplication-independent picking algorithm for various input devices. The key idea is to represent the signature of an object as a shapedistribution sampled from a shape function measuring global geometric properties of an object