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Composite filtering strategy for improving distortion invariance in object recognition

Ahmed B. Awan, Saad Rehman, Asim D. Bakhshi
2018 IET Image Processing  
Correlation-based pattern recognition filtering methods such as the eigenextended maximum average correlation height (EEMACH) filter is considered an effective tool in object recognition applications.  ...  However, these approaches require exclusive training for all possible distortions including in-plane as well as out-of-plane rotation, scale and illumination variations.  ...  Conclusion and future work This paper suggests a composite filtering strategy for CPR with significantly better recognition capability.  ... 
doi:10.1049/iet-ipr.2017.1147 fatcat:ysvkkzdz5ffmpitujs7z25vuku

Improvement of pattern recognition with a heuristic design of correlation filters

Oskardie Castro, Victor H. Diaz-Ramirez, Arnoldo Diaz-Ramirez, Vitaly Kober, Khan M. Iftekharuddin, Abdul A. S. Awwal
2009 Optics and Photonics for Information Processing III  
A new method to design correlation filters for target recognition is presented. The method is based on a heuristic optimization of performance metrics.  ...  Computer simulation results obtained with the proposed method are provided and compared with those of common correlation filters in terms of recognition performance measures in cluttered and noisy input  ...  Basically, we can find two different kinds of correlation filters for distortion invariance pattern recognition. They are, analytical and composite filters.  ... 
doi:10.1117/12.826639 fatcat:nkf6cjxlwngrnpdvfnzqbspxk4

Advances in Adaptive Composite Filters for Object Recognition [chapter]

Victor H., Leonardo Trujillo, Sergio Pinto-Fernandez
2012 Advances in Object Recognition Systems  
The research reported in this chapter was supported by Consejo Nacional de Ciencia y Tecnologia (CONACYT) and Secretaria de Investigacion y Posgrado del Instituto Politecnico Nacional (SIP-IPN), Mexico  ...  Advances in Adaptive Composite Filters for Object Recognition, Advances in Object Recognition Systems, Dr.  ...  Advances in Object Recognition Systems Advances in Adaptive Composite Filters for Object Recognition 3 92 Fig. 1.  ... 
doi:10.5772/35708 fatcat:byjmpke3bzhrrj27hm7c5gvy6u

Optical inspection for electronic assemblies using nonlinear correlation filters

Jorge L. Flores, G. García-Torales, Josué Álvarez Borrego, Andrew G. Tescher
2008 Applications of Digital Image Processing XXXI  
The proposed recognition system is based on nonlinear composite filter, which is obtained from a training set of reference images.  ...  To this end, image processing modules, based on a nonlinear composite filter are employed with the objective to discriminate between the electronics components that meet the acceptance condition and those  ...  ACKNOWLEDGMENTS: This study was supported in part by PROMEP, under project number PROMEP/103.5/07/3515.  ... 
doi:10.1117/12.795597 fatcat:tq4rm3koa5azxky2gr3mtjuxiu

Pattern recognition with composite correlation filters designed with multi-objective combinatorial optimization

Victor H. Diaz-Ramirez, Andres Cuevas, Vitaly Kober, Leonardo Trujillo, Abdul Awwal
2015 Optics Communications  
In this work, we present a new approach for the design of composite filters based on multi-objective combinatorial optimization.  ...  Composite correlation filters are used for solving a wide variety of pattern recognition problems.  ...  Section 2 presents a review of existing composite filters for object recognition.  ... 
doi:10.1016/j.optcom.2014.10.038 fatcat:abvbj6nxsra4vkl4jjix72x7pq

Omni-Directional Vision Sensor for Mobile Robot Navigation Based on Particle Filter [chapter]

Zuoliang Cao, Yanbin Li, Shenghua Ye
2010 Robot Localization and Map Building  
According to the combination of object recognition and particle filter, the improved particle filter can keep tracking the target even though the target is blocked or disappeared for a while.  ...  The original tracking algorithm uses the result of object recognition to validate the output of Particle Filter, which improves the robustness of tracking algorithm in complex environment.  ... © 2010 The Author(s).  ... 
doi:10.5772/9275 fatcat:h5cvle6cmjcnrnoonbxxkkuocu

Guest Editorial: Special Section on Advances in Recognition Techniques, Part 1

Mohammad S. Alam
1998 Optical Engineering: The Journal of SPIE  
They cover the recognition domains of fuzzy logic approach, joint transform correlation, matched filter based recognition, distortion invariant recognition, color pattern recognition, morphological processor  ...  Next, Ahmed, Alam, and Karim use a multi-reference JTC technique for rotation-invariant recognition as well as estimation of the rotational distortion of input scene targets.  ...  Karim served in the past as the guest editor for four other special sections of Optical Engineering and one special issue of Optics and Laser Technology.  ... 
doi:10.1117/1.601604 fatcat:izle4f5xr5gbzjudqx2vhzdkdm

CNN Architectures for Geometric Transformation-Invariant Feature Representation in Computer Vision: A Review

Alhassan Mumuni, Fuseini Mumuni
2021 SN Computer Science  
For example, in mobile robot applications like simultaneous localization and mapping (SLAM) and visual tracking, object shapes change depending on their orientation in the 3D world, camera proximity, viewpoint  ...  Recently, deep learning techniques have proven very successful in visual recognition tasks but they typically perform poorly with small data or when deployed in environments that deviate from training  ...  They are, therefore, widely used to improve recognition performance in pretrained CNN models.  ... 
doi:10.1007/s42979-021-00735-0 fatcat:3zrkaan7dncoja4e32u7jgwo4m

A Novel Approach for Improving the Accuracy of Moving Objects Detection and Tracking using an Advanced Pattern Matching Technique

Matheswari Rajamanickam
2018 International Journal for Research in Applied Science and Engineering Technology  
Object detection and recognition used image processing techniques like image segmentation, classification and grouping of objects with pattern matching for addressing issues in different dimensions.  ...  This research papers presents a review on the standard existing techniques, which can be combined with several other advanced methods like extended kalman filtering for efficient moving objects detection  ...  Kalman filtering is best suited for increasing the matching points and color information can also be involved for robust point matching strategy.  ... 
doi:10.22214/ijraset.2018.4327 fatcat:sglo4wvzezcwvd4nf4iwd5i6bq

Invariant analogical image representation and pattern recognition

Lowell Jacobson, Harry Wechsler
1984 Pattern Recognition Letters  
form recognition.  ...  We describe an image representation that uniquely encodes the information in a gray-scale image. decouples the ef fects of illumination. reflectance. and angle of incidence. and is Invariant. within a  ...  Secondly, image representa tions must provide good intra-object clustering and inter-object separability independent of image distortion while at the same time preserving in formation about pattern distortion  ... 
doi:10.1016/0167-8655(84)90016-3 fatcat:ch4xsqni7bd4ddeogr5qjbksvu

Local Feature Descriptor for Image Matching: A Survey

Chengcai Leng, Hai Zhang, Bo Li, Guorong Cai, Zhao Pei, Li He
2019 IEEE Access  
Image registration is an important technique in many computer vision applications such as image fusion, image retrieval, object tracking, face recognition, change detection and so on.  ...  ., how to detect features and how to describe them, play a fundamental and important role in image registration process, which directly influence the accuracy and robustness of image registration.  ...  In order to reduce the time and improve the recognition accuracy, Xie et al.  ... 
doi:10.1109/access.2018.2888856 fatcat:rshfx326izcfdgk5ed6umit7wi

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
Searching Strategy for Articulated 3D Human Body Tracking Hu, Wenze Learning a Probabilistic Model Mixing 3D and 2D Primitives for View Invariant Object Recognition Hu, Xiaoyan Evaluation of Stereo Confidence  ...  Learning for Face Recognition from a Single Sample per Person Gao, Yang Fast Polygonal Integration and Its Application in Extending Haar-like Features to Improve Object Detection Gast, Jürgen Workshop  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

Semantic-Context-Based Augmented Descriptor for Image Feature Matching [chapter]

Samir Khoualed, Thierry Chateau, Umberto Castellani
2013 Lecture Notes in Computer Science  
The approach is evaluated for two data sets. The first one is intentionally selected with images containing multiple similar regions and depicting slight non-affine distortions.  ...  This is expected to handle ambiguities occurring in images with multiple similar motifs and depicting slight complicated non-affine distortions, outliers, and detector errors.  ...  Video tracking, object recognition, and features matching are examples.  ... 
doi:10.1007/978-3-642-37444-9_28 fatcat:tsehh6752fb2nkxah6nbobpoeq

Character index

2011 2011 IEEE International Conference on Multimedia and Expo  
doi:10.1109/icme.2011.6011827 fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu

Colour Descriptors for Tracking in Spatial Augmented Reality [chapter]

Thijs Kooi, Francois de Sorbier, Hideo Saito
2013 Lecture Notes in Computer Science  
We evaluate a set of photometric invariants that have previously been shown to improve the performance of object recognition, added to the descriptor to reduce the influence of the projector.  ...  Augmented Reality is an emerging research field, that aims for the composition of real and virtual imagery, by means of a camera and display device.  ...  This work was partially supported by MEXT/JSPS Grantin-Aid for Scientific Research (S) 24220004.  ... 
doi:10.1007/978-3-642-37484-5_32 fatcat:hyohgi4jafcjzgev2auzmlgctu
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