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Erschienen in:
2022 | OriginalPaper | Buchkapitel
Semi-automatic Contour “Gist” Creation for Museum Painting Tactile Exploration
verfasst von : Son Duy Dao, Ngoc-Tan Truong, Edwige Pissaloux, Katerine Romeo, Lilia Djoussouf
Erschienen in: Computers Helping People with Special Needs
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Abstract
Contour “gist” creation (i.e., creating a simplified contour which represents an object) is always required in helping Visually Impaired People (VIP) to do an effective tactile exploration on painting images in a museum. However, this process is very labor intensive, and the existing contour/edge detection algorithms in the literature are not capable of creating the contour “gist” models automatically. In this paper, a method for semi-automatic contour “gist” creation for museum painting tactile exploration is proposed. It uses 2 databases (original image database and contour “gist” model database), an object detection algorithm (deep learning), and object-contour “gist” model matching algorithm. The output of this method would be transferred to Force-Feedback Tablet (F2T) (an original tactile device) to allow the VIP to explore the museum paintings more effectively.