Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
HMM-based efficient sketch recognition
Proceedings of the 10th international conference on Intelligent user interfaces
Graph Cuts and Efficient N-D Image Segmentation
International Journal of Computer Vision
Sketch based interfaces: early processing for sketch understanding
ACM SIGGRAPH 2006 Courses
LADDER, a sketching language for user interface developers
Computers and Graphics
Automated freehand sketch segmentation using radial basis functions
Computer-Aided Design
MindFinder: interactive sketch-based image search on millions of images
Proceedings of the international conference on Multimedia
Shape google: Geometric words and expressions for invariant shape retrieval
ACM Transactions on Graphics (TOG)
Sketch2Cartoon: composing cartoon images by sketching
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Edgel index for large-scale sketch-based image search
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Query-adaptive shape topic mining for hand-drawn sketch recognition
Proceedings of the 20th ACM international conference on Multimedia
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In this paper, we study the problem of how to segment a freehand sketch at the object level. By carefully considering the basic principles of human perceptual organization, a real-time solution is presented to automatically segment a user's sketch during his/her drawing. First, a graph-based sketch segmentation algorithm is proposed to segment a cluttered sketch into multiple parts based on the factor of proximity. Then, to improve the ability of detecting semantically meaningful objects, a semantic-based approach is introduced to simulate the past experience in the perceptual system by leveraging a web-scale clipart database. Finally, other important factors learnt from past experience, such as similarity, symmetry, direction, and closure, are also taken into account to make the approach more robust and practical. The proposed sketch segmentation framework has ability to handle complex sketches with overlapped objects. Extensive experimental results show the effectiveness of the proposed framework and algorithms.