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  1. Proceedings of the International Conference on Artificial Intelligence and Robotics and the International Conference on Automation, Control and Robotics Engineering (ICAIR-CACRE '16)
  2. Image completion with variable scope patch sampling
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A method for industrial robot manipulators trajectory planning based on piecewise continuous function
Prandtl-Ishlinskii model-based adaptive feedforward control for piezoelectric-stack-actuator-driven systems
LSTSRS-SVM applied in large scale wireless sensor networks localization
Tooth contact analysis and assembly error analysis of a helical gear speed reducer with linear tip-relief
Collision avoidance path planning for the 6-DOF robotic manipulator
An adaptive Smith Predictor control scheme for a downstream vacuum system
Learning to prioritize GUI test cases for Android laboratory programs
Development of LCD-based additive manufacturing system for biomedical application
Obstacle avoidance path planning of free-floating space manipulator for on-orbit observation
Consensus speed maximisation in engineered swarms with autocratic leaders
The method of multi-step dimensionality reduction and parallel feature fusion in clothing recognition
Analysis of an intruder detection probability for a mobile sensor network in a belt region
A system for an anticipative front human following robot
Development of holistic corner control for electric vehicle using a new driver command interpreter
Road detection algorithm of integrating region and edge information
A harmonic canceller for hydraulic servo seismic system based on the parallel filtered-X adaptive notch filter
Walking synchronously with a mobile robot using mutual rhythmic entrainement
A new approach of shift schedule optimization for AMT vehicle based on optimal theory
Hierarchical boosting for transfer learning with multi-source
CAD/CAE of spherical gears
Indexing rules in rule sets for fast classification
A new approach to identify the ball screw wear based on feed motor current
An improved computational framework using one stage filtration by incorporating knowledge in gene expression clustering
Benchmark of feature selection techniques with machine learning algorithms for cancer datasets
Learning sensorimotor navigation using synchrony-based partner selection
Image completion with variable scope patch sampling

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Image completion with variable scope patch sampling

Content Provider ACM Digital Library
Author Liu, Jing Zhu, Qing
Abstract This paper presents a simple but effective way of patch sampling for image completion which changes the assignment scope in different pixels when sampling patches during completion. In each pixel of missing regions, the scope expands from narrow to wide and stop expanding as soon as it randomly find a patch in searching region. In this way, all the sampled patches are almost around the missing regions and each pixel in the regions is assigned an offset value which is corresponds to one of the patches. Traditional methods simply assign the offsets from the whole images and then use algorithms (ANN, etc.) for further process. Our method reduces misleading results and is easier to acquire better patches than many other patch-based methods. Results show that with the same input images, the proposed method obtains better results than others.
Starting Page 1
Ending Page 5
Page Count 5
File Format PDF
ISBN 9781450342353
DOI 10.1145/2952744.2952746
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-07-13
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Approximate nearest neighbor Image inpainting Patch-based synthesis Image completion
Content Type Text
Resource Type Article
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