文章基本信息

标题：3D Object Approximation from Multi-View Depth Information
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作者：Seema Idhate ; Abhishek Kumar Pandey ; Ainar Nanda 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：3
页码：702-706
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Transmitting efficiently epitomized geometry of a dynamic 3D scene from a sender can facilitate a multitude of imaging functionalities at a receiver, such as amalgamation of virtual images at freely chosen viewpoints via depth-image-based translation. While depth maps¡ªprognoses of 3D geometry onto 2D image planes at chosen camera viewpoints¡ªcan these days be readily captured by economical depth sensors, they are often despoiled by non-negligible procurement noise. Given depth maps need to be de-noised and compressed at the encoder for effective network transmission to the decoder, in this paper, we consider the de-noising and compression problems jointly, arguing that doing so will result in a better overall performance than the alternative of solving the two problems separately in two stages. In detail, we articulate a rate-constrained estimation problem, where given a set of observed noise-corrupted depth maps, the most probable 3D surface is sought within a search space of surfaces with illustration size no larger than a pre-specified rate restraint. Rate-controlled MAP solution diminishes to the conventional unrestrained MAP 3D surface reconstruction solution if the rate restraint is loose. To solve our posed rate-controlled approximation problem, we propose an iterative algorith m, where iteration, the structure and the texture of the depth maps are optimized alternately. We are using the MVC codec for compression of multi-view depth video and MPEG free viewpoint video sequences as input.
关键词：Multiview Information; Depth Information ; Compression; 3D Image Recreation; Image DE noising