Print Email Facebook Twitter A proof of concept for aligning sketches to their corresponding painting Title A proof of concept for aligning sketches to their corresponding painting Author Radder, Marit (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Wiersma, R.T. (mentor) Marroquim, Ricardo (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2022-06-23 Abstract Aligning sketches to their corresponding painting could give more insight into the creative process of an artist. This is a difficult task that cannot be solved directly with classical image registration techniques. Typically, features such as cracks and brushstrokes are used to match different modalities. A sketch does not contain such artifacts and is often roughly similar to the final painting. Therefore the following question rises what suitable feature detection, feature extraction/description, and transform model estimation methods can be used to align sketches to their corresponding painting. This paper provides a proof of concept by taking a manual feature detection, and a histogram of orientations as a feature description. We demonstrate that our algorithm can automatically align sketches with up to 1.4 percent of the accuracy of manual alignment. To reference this document use: http://resolver.tudelft.nl/uuid:f418adf1-45d1-4501-846a-c0a94ae44387 Part of collection Student theses Document type bachelor thesis Rights © 2022 Marit Radder Files PDF CSE3000_Paper_Template_Marit_1_.pdf 2.87 MB Close viewer /islandora/object/uuid:f418adf1-45d1-4501-846a-c0a94ae44387/datastream/OBJ/view