Download the fantastic book titled Tensor Voting written by Philippos Mordohai, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Tensor Voting", which was released on 01 June 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Tensor Voting by Philippos Mordohai PDF
This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources.
Detail About Tensor Voting PDF
- Author : Philippos Mordohai
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 126 pages
- ISBN : 3031022424
- Release Date : 01 June 2022
- PDF File Size : 16,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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