July 2004
Intermediate to advanced
688 pages
19h 3m
English
Content preview from Emerging Topics in Computer VisionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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5.3. Tensor Voting in 2D
This section introduces the tensor voting framework in 2D. It begins by describing the original second-order representation and voting of [40]. Since the strictly second-order framework cannot handle structure discontinuities, first-order information has been added to the framework. Now tokens are encoded with second-order tensors and polarity vectors. These tokens propagate their information to their neighbors by casting first- and second-order votes. We demonstrate how all types of votes are derived from the same voting function and how voting fields are generated. Votes are accumulated at every token to infer the type of perceptual structure or structures going through it along with their orientation. Voting from token ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.