Visualization of Depth in 2D Images of 2D and 3D Objects (a Perspective Geometrical Model Approach)

While 3D visualization technology is still in its infancy, hardware capabilities have progressed to the point where useful, practical work can be done. However, there exists significant barriers to using 3D visualization, primarily in usability and interfaces. 3D visualization is closely linked with the realization of depth or the distance between the objects along the 3 mutually perpendicular axes. Our position is that, to break through these barriers, research is needed on the following enabling technologies: a. User interfaces for 3D visualization / Depth b. 3D / Depth visualization tools for engineers c. Data navigation, data mining, and visualization of multidimensional databases, including visualization methods for categorical data. d. Computer-Conferencing using 3-D / Depth Visualization. This proposal brings together researchers with a variety of backgrounds to focus on these problems, with our various interests integrated by the 3D CAVE environment that we propose to create. The CAVE is a 3D / Depth visual computing environment that recreates space and allows the researcher to interact and visualize complex shapes in an interactive 3D environment. The aim of the present paper, is to investigate the various techniques available to convert a 2D image into a reasonably realistic 3D image showing the depth effect with the special reference to Perspective mathematical modeling approach. Over the past, many have developed techniques for 3D Depth visualization of 2D images. The above works were reviewed in detail.(1,6) The commonly used methods, viz Stereoscopic visualization and cross eye visualization were briefly discussed(5). The perspective modeling method which provides the image of the object on the screen as it appears to the eye is developed. For convenience the images chosen are computer-generated images generated through suitable algorithms. Algorithms were also developed to give a color shading. Step by step procedure for visualizing the depth effect is illustrated through figures. Finally, various conclusions are drawn based on the present work.