Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Target detection in SAR imagery by genetic programming
Advances in Engineering Software
Foundations of genetic programming
Foundations of genetic programming
Fractal Image Encoding and Analysis
Fractal Image Encoding and Analysis
Automatic Creation of Human-Competitive Programs and Controllers by Means of Genetic Programming
Genetic Programming and Evolvable Machines
Declarative and Preferential Bias in GP-based Scientific Discovery
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines
Genetic Programming for Feature Detection and Image Segmentation
Selected Papers from AISB Workshop on Evolutionary Computing
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Image indexing and similarity retrieval based on spatial relationship model
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Introduction to multimedia and mobile agents
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Genetic Programming and Evolvable Machines
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Synthesis of interest point detectors through genetic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Computer Vision and Image Understanding
Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques
FBIT '07 Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies
Genetic programming for finite algebras
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Multiobjective design of operators that detect points of interest in images
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Routine high-return human-competitive automated problem-solving by means of genetic programming
Information Sciences: an International Journal
Inference of differential equation models by genetic programming
Information Sciences: an International Journal
Texture segmentation by genetic programming
Evolutionary Computation
Automated design of image operators that detect interest points
Evolutionary Computation
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines
A Real-Time Evolutionary Object Recognition System
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Evolutionary learning of local descriptor operators for object recognition
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Genetic and Evolutionary Computation for Image Processing and Analysis
Genetic and Evolutionary Computation for Image Processing and Analysis
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
The estimation of hölderian regularity using genetic programming
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Abstract functions and lifetime learning in genetic programming for symbolic regression
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Optimization of the hölder image descriptor using a genetic algorithm
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Human-competitive results produced by genetic programming
Genetic Programming and Evolvable Machines
Optimal depth estimation by combining focus measures using genetic programming
Information Sciences: an International Journal
A refactoring method for cache-efficient swarm intelligence algorithms
Information Sciences: an International Journal
Fingerprint classification based on learned features
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Visual learning by coevolutionary feature synthesis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The regularity of a signal can be numerically expressed using Holder exponents, which characterize the singular structures a signal contains. In particular, within the domains of image processing and image understanding, regularity-based analysis can be used to describe local image shape and appearance. However, estimating the Holder exponent is not a trivial task, and current methods tend to be computationally slow and complex. This work presents an approach to automatically synthesize estimators of the pointwise Holder exponent for digital images. This task is formulated as an optimization problem and Genetic Programming (GP) is used to search for operators that can approximate a traditional estimator, the oscillations method. Experimental results show that GP can generate estimators that achieve a low error and a high correlation with the ground truth estimation. Furthermore, most of the GP estimators are faster than traditional approaches, in some cases their runtime is orders of magnitude smaller. This result allowed us to implement a real-time estimation of the Holder exponent on a live video signal, the first such implementation in current literature. Moreover, the evolved estimators are used to generate local descriptors of salient image regions, a task for which a stable and robust matching is achieved, comparable with state-of-the-art methods. In conclusion, the evolved estimators produced by GP could help expand the application domain of Holder regularity within the fields of image analysis and signal processing.