Holistically-attracted wireframe parsing: from supervised to self-supervised learning.
This article presents Holistically-Attracted Wireframe Parsing (HAWP), a method for geometric analysis of 2D images containing wireframes formed by line segments and junctions. HAWP utilizes a parsimonious Holistic Attraction (HAT) field representation that encodes line segments using a closed-form...
Main Authors: | , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
IEEE
2023
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