Conventional approaches to render a scene require geometric descr iption such as polygonal meshes,

etc and appearance descr iptions such as lights and material properties. To render high quality images

such descr iptions, we require very accurate models and materials. Creating such accurate geo-

metric models of real scenes is a difficult and time consuming problem. Image Based Rendering (IBR)

holds a lot of promise for navigating through a real world scene without modeling it manually. Different

representations have been proposed for IBR in the literature. In this thesis, we explore the Depth Image

representation consisiting of depth maps and texture images a number of viewpoints as a rich and

viable representation for IBR.-Conventional approaches to render a scene require geometric descr iption such as polygonal meshes,

etc and appearance descr iptions such as lights and material properties. To render high quality images

such descr iptions, we require very accurate models and materials. Creating such accurate geo-

metric models of real scenes is a difficult and time consuming problem. Image Based Rendering (IBR)

holds a lot of promise for navigating through a real world scene without modeling it manually. Different

representations have been proposed for IBR in the literature. In this thesis, we explore the Depth Image

representation consisiting of depth maps and texture images　a number of viewpoints as a rich and

viable representation for IBR.