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Three-dimensional modeling from imag...
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Sainz, Miguel.
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Three-dimensional modeling from images and video streams.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Three-dimensional modeling from images and video streams./
作者:
Sainz, Miguel.
面頁冊數:
202 p.
附註:
Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2368.
Contained By:
Dissertation Abstracts International64-05B.
標題:
Engineering, System Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3090277
Three-dimensional modeling from images and video streams.
Sainz, Miguel.
Three-dimensional modeling from images and video streams.
- 202 p.
Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2368.
Thesis (Ph.D.)--University of California, Irvine, 2003.
Image Based Modeling and Rendering (IBMR) is a fairly new field of research and experimentation with the goal of reducing the complexity of use and the execution time of the modeling of photorealistic 3D graphics. These new techniques can be used to develop methods and tools for acquiring and modeling objects, using pictures and/or video sequences as source data. In this work we present a novel pipeline to reconstruct full 3D photorealistic model reconstruction of real world objects from a set of images. The reconstruction process begins with the acquisition of an unrestricted video walkthrough inside or around the scene to be modeled. Robust digital image processing and computer vision techniques allow the use of low cost acquisition systems such as photo or video cameras. After acquiring and digitizing the frames, a tracking algorithm extracts significant 2D information of the video sequence. Then, a calibration process automatically calculates the 3D position of the tracked features, the 3D position and orientation of cameras and their internal parameters, such as the focal length. We have successfully developed novel algorithms that perform these calculations robust and computationally efficiently. We perform a spatial carving operation on a piece of virtual material containing the scene using a voxel carving methodology highly optimized to use the computation power of the actual videocards. Once this carving is finished, a modeling process obtains a representation suitable to be rendered. We propose three different representations which are a trade-off of different factors with the goal of achieving fast rendering: the final application might require from the 3D model representation several characteristics such as support for level of details (LODs), collision detection, interactive illumination and photorealistic quality. The proposed pipeline targets applications in areas such as Virtual Reality, Computer Gaming and Special Effects. All these environments require high quality 3D models for increased realism. Our approach allows obtaining such data directly from real world objects using images in a fast and automatic way.Subjects--Topical Terms:
1018128
Engineering, System Science.
Three-dimensional modeling from images and video streams.
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Image Based Modeling and Rendering (IBMR) is a fairly new field of research and experimentation with the goal of reducing the complexity of use and the execution time of the modeling of photorealistic 3D graphics. These new techniques can be used to develop methods and tools for acquiring and modeling objects, using pictures and/or video sequences as source data. In this work we present a novel pipeline to reconstruct full 3D photorealistic model reconstruction of real world objects from a set of images. The reconstruction process begins with the acquisition of an unrestricted video walkthrough inside or around the scene to be modeled. Robust digital image processing and computer vision techniques allow the use of low cost acquisition systems such as photo or video cameras. After acquiring and digitizing the frames, a tracking algorithm extracts significant 2D information of the video sequence. Then, a calibration process automatically calculates the 3D position of the tracked features, the 3D position and orientation of cameras and their internal parameters, such as the focal length. We have successfully developed novel algorithms that perform these calculations robust and computationally efficiently. We perform a spatial carving operation on a piece of virtual material containing the scene using a voxel carving methodology highly optimized to use the computation power of the actual videocards. Once this carving is finished, a modeling process obtains a representation suitable to be rendered. We propose three different representations which are a trade-off of different factors with the goal of achieving fast rendering: the final application might require from the 3D model representation several characteristics such as support for level of details (LODs), collision detection, interactive illumination and photorealistic quality. The proposed pipeline targets applications in areas such as Virtual Reality, Computer Gaming and Special Effects. All these environments require high quality 3D models for increased realism. Our approach allows obtaining such data directly from real world objects using images in a fast and automatic way.
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