Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Linear Combination of Neural Networks for Improving Classification Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Graphics (TOG)
Smart Sketchpad - An On-line Graphics Recognition System
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Online Recognition of Sketched Electrical Diagrams
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Probability Estimates for Multi-class Classification by Pairwise Coupling
The Journal of Machine Learning Research
Sketched Symbol Recognition using Zernike Moments
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
A Parsing Technique for Sketch Recognition Systems
VLHCC '04 Proceedings of the 2004 IEEE Symposium on Visual Languages - Human Centric Computing
HMM-based efficient sketch recognition
Proceedings of the 10th international conference on Intelligent user interfaces
A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Shape Classification Using Bayesian Aggregation
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
Manufacturing processes recognition of machined mechanical parts using SVMs
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
On visual similarity based 2D drawing retrieval
Computer-Aided Design
An image-based, trainable symbol recognizer for hand-drawn sketches
Computers and Graphics
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
A 3d model retrieval method using 2d freehand sketches
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
An active learning framework for content-based information retrieval
IEEE Transactions on Multimedia
Parallel consensual neural networks
IEEE Transactions on Neural Networks
Magic canvas: interactive design of a 3-D scene prototype from freehand sketches
GI '07 Proceedings of Graphics Interface 2007
Calligraphic Interfaces: Classifier combination for sketch-based 3D part retrieval
Computers and Graphics
Sketching reality: Realistic interpretation of architectural designs
ACM Transactions on Graphics (TOG)
Elliptic polygon based 2D sketch interface for 3D shape matching
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
A probability-based unified 3d shape search
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Sketch-based search and composition of 3D models
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
Sketch-based 3D model retrieval by incorporating 2D-3D alignment
Multimedia Tools and Applications
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We present a two-tier sketch-based engineering part retrieval system enhanced with classifier combination. Given a free-hand user sketch, we propose to use an ensemble of classifiers to estimate the likelihood of the sketch belonging to each category by exploring the strengths of individual classifiers. This supports high quality part retrieval by motivating user feedback with a ranked list of top choices. Three shape descriptors have been used to generate the probability-based classifiers independently. Experiments are conducted using the Engineering Shape Benchmark database in order to evaluate the selected combination rules before we integrate the best rule for sketch classification. User studies with the system show that users can easily identify the desired groups and then the parts. In addition, the precision attained using the synthesis is better than results from independent classifiers when applied to both user sketches and 3D models.