TY - GEN
T1 - Structuring and layering contour drawings of organic shapes
AU - Entem, Even
AU - Parakkat, Amal Dev
AU - Cani, Marie Paule
AU - Barthe, Loïc
N1 - Publisher Copyright:
© 2018 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2018/8/17
Y1 - 2018/8/17
N2 - Complex vector drawings serve as convenient and expressive visual representations, but they remain difficult to edit or manipulate. For clean-line vector drawings of smooth organic shapes, we describe a method to automatically extract a layered structure for the drawn object from the current or nearby viewpoints. The layers correspond to salient regions of the drawing, which are often naturally associated to ‘parts’ of the underlying shape. We present a method that automatically extracts salient structure, organized as parts with relative depth orderings, from clean-line vector drawings of smooth organic shapes. Our method handles drawings that contain complex internal contours with T-junctions indicative of occlusions, as well as internal curves that may either be expressive strokes or substructures. To extract the structure, we introduce a new part-aware metric for complex 2D drawings, the radial variation metric, which is used to identify salient sub-parts. These sub-parts are then considered in a priority-ordered fashion, which enables us to identify and recursively process new shape parts while keeping track of their relative depth ordering. The output is represented in terms of scalable vector graphics layers, thereby enabling meaningful editing and manipulation. We evaluate the method on multiple input drawings and show that the structure we compute is convenient for subsequent posing and animation from nearby viewpoints.
AB - Complex vector drawings serve as convenient and expressive visual representations, but they remain difficult to edit or manipulate. For clean-line vector drawings of smooth organic shapes, we describe a method to automatically extract a layered structure for the drawn object from the current or nearby viewpoints. The layers correspond to salient regions of the drawing, which are often naturally associated to ‘parts’ of the underlying shape. We present a method that automatically extracts salient structure, organized as parts with relative depth orderings, from clean-line vector drawings of smooth organic shapes. Our method handles drawings that contain complex internal contours with T-junctions indicative of occlusions, as well as internal curves that may either be expressive strokes or substructures. To extract the structure, we introduce a new part-aware metric for complex 2D drawings, the radial variation metric, which is used to identify salient sub-parts. These sub-parts are then considered in a priority-ordered fashion, which enables us to identify and recursively process new shape parts while keeping track of their relative depth ordering. The output is represented in terms of scalable vector graphics layers, thereby enabling meaningful editing and manipulation. We evaluate the method on multiple input drawings and show that the structure we compute is convenient for subsequent posing and animation from nearby viewpoints.
KW - Contour completion
KW - Shape segmentation
KW - Vector drawing analysis
UR - https://www.scopus.com/pages/publications/85056115282
U2 - 10.1145/3229147.3229155
DO - 10.1145/3229147.3229155
M3 - Conference contribution
AN - SCOPUS:85056115282
T3 - Proceedings - Expressive 2018: Computational Aesthetics Sketch-Based Interfaces and Modeling Non-Photorealistic Animation and Rendering
BT - Proceedings - Expressive 2018
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery, Inc
T2 - 2018 Joint Symposium on Computational Aesthetics Sketch-Based Interfaces and Modeling Non-Photorealistic Animation and Rendering, Expressive 2018
Y2 - 17 August 2018 through 19 August 2018
ER -