Inducing Semantic Segmentation from an Example

Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent regions, but such regions generally do not correspond to complete meaningful parts. In this paper, we show that even a single...

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Veröffentlicht in:	Computer Vision – ACCV 2006 2006, p.373-384
Hauptverfasser:	Schnitman, Yaar, Caspi, Yaron, Cohen-Or, Daniel, Lischinski, Dani
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Image Completion Input Image Optimal Label Pattern recognition. Digital image processing. Computational geometry Texture Synthesis Training Image
Online-Zugang:	Volltext
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