Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours
By S. Yoon, Maximilian Scherer, Tobias Schreck, Arjan Kuijper. 2010
114 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Subhransu Maji
- Eric Learned-Miller
- Hang Su
- Marc Alexa
- Mathias Eitz
- Evangelos Kalogerakis
- Olga Sorkine-Hornung
- Daniel Cohen-Or
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Xiaogang Wang
- Dacheng Tao
- Jitendra Malik
- Ming-Hsuan Yang
- Trevor Darrell
- Alan L. Yuille
- Andrew Zisserman
Citations in the corpus
- Multi-view Convolutional Neural Networks for 3D Shape Recognition (2015, background): “However, it is hard to convey stylistic and geometric variations using only textual descriptions, thus sketchbased shape retrieval [38, 31, 12] has been proposed as an alternative for users to retrieve shapes with an approximate sketch of the desired 3D shape in mind.”
- Sketch-based shape retrieval (2012, methodology): “Instead, sketch-based retrieval has been proposed [Löffler 2000; Funkhouser et al. 2003; Chen et al. 2003; Yoon et al. 2010; Shao et al. 2011], where users sketch the desired model as seen from one or more viewpoints.”