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Selecting objects with freehand sketches
K. H. Tan
,
N. Ahuja
National Center for Supercomputing Applications (NCSA)
Electrical and Computer Engineering
Siebel School of Computing and Data Science
Research output
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Contribution to conference
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Paper
›
peer-review
Overview
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Dive into the research topics of 'Selecting objects with freehand sketches'. Together they form a unique fingerprint.
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Keyphrases
Object Boundary
100%
Freehand Sketch
100%
Image Processing
50%
Triangulation
50%
Linear Approximation
50%
User Input
50%
Approximate Boundary
50%
Local Boundary
50%
Complex Boundary
50%
Image Editing
50%
Interactive Tool
50%
Graphics Systems
50%
Two-phase Algorithm
50%
Image Manipulation
50%
User Image
50%
Initial Selection
50%
Alpha Channel
50%
Local Segmentation
50%
Global Segmentation
50%
Image Computation
50%
Computer Science
Object Boundary
100%
Approximation (Algorithm)
50%
Experimental Result
50%
Interactive Tool
50%
Graphics System
50%
Phase Algorithm
50%
Image Computation
50%
Information Retrieval
50%
Engineering
Object Boundary
100%
Subproblem
100%
Experimental Result
50%
Final Selection
50%
Select Object
50%
Mathematics
Subproblem
100%
Approximates
50%
Triangle
50%
Linear Approximation
50%