Inaccuracy-Tolerant Sparse-to-Dense Depth Propagation for Semiautomatic 2D-to-3D Conversion
Current semiautomatic 2D-to-3D methods assume that user input is perfectly accurate. However, it is difficult to get 100% accurate user scribbles and even small errors in the input will degrade the conversion quality. This paper addresses the issue with scribble confidence that considers color diffe...
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
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Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/2601652 |