文件名称:Depth-Image-Representation-for-Image-Based-Render
- 所属分类：
- 图形图像处理(光照,映射..)
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- [PDF]
- 上传时间：
- 2017-02-05
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- 1.68mb
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- pho***
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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.
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.
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Depth Image Representation for Image Based Rendering [Thesis].pdf