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Sampling-aware polar descriptors on the sphere

Zafer Arican, Pascal Frossard
2010 2010 IEEE International Conference on Image Processing  
We then use a criteria based on the Kullback-Leibler divergence in order to improve the feature matching performance.  ...  We present a new descriptor and feature matching solution for omnidirectional images.  ...  For histogram-comparison based method de-scribed in this paper, the histograms are normalized for each spatial bin and concatenated to the descriptor vector.  ... 
doi:10.1109/icip.2010.5650468 dblp:conf/icip/AricanF10a fatcat:zf3qov7uize2nm4cbprohq4ebi

A maximum entropy feature descriptor for age invariant face recognition

Dihong Gong, Zhifeng Li, Dacheng Tao, Jianzhuang Liu, Xuelong Li
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
The effectiveness of the framework is confirmed by extensive experimentation on two face aging datasets, MORPH (the largest public-domain face aging dataset) and FGNET.  ...  By densely sampling the encoded face image, sufficient discriminatory and expressive information can be extracted for further analysis.  ...  AIFR is useful in a number of practical applications, for example finding missing children and identifying criminals based on their mug shots [1, 2] .  ... 
doi:10.1109/cvpr.2015.7299166 dblp:conf/cvpr/GongLTLL15 fatcat:lddrmzxrrnaepokyrykqhyejgy

On the averaging of cardiac diffusion tensor MRI data: the effect of distance function selection

Archontis Giannakidis, Gerd Melkus, Guang Yang, Grant T Gullberg
2016 Physics in Medicine and Biology  
judged by quantitative -rather than qualitative-criteria, (ii) the comparison tools were non-biased, (iii) a longitudinal comparison operation was used on a same-voxel basis.  ...  The debate on the most appropriate DT-MRI distance function is still ongoing.  ...  1 log(D i ) (11) Metric Comparison Tool Based on Microstructural Orientation Coherence After performing averaging at the diffusion tensor level by relying on the Euclidean, AIR and log-Euclidean distance  ... 
doi:10.1088/0031-9155/61/21/7765 pmid:27754986 pmcid:PMC5094190 fatcat:nlnngwfc4rao7k6euoykcsma34

Descriptor Learning Based on Fisher Separation Criterion for Texture Classification [chapter]

Yimo Guo, Guoying Zhao, Matti Pietikäinen, Zhengguang Xu
2011 Lecture Notes in Computer Science  
A learning framework of image descriptor is designed based on the Fisher separation criteria (FSC) to learn most reliable and robust dominant pattern types considering intraclass similarity and inter-class  ...  distance.  ...  From the comparison, FBL-LBP has a better performance on the Fb, Dup I and Dup II than that of the uniform LBP, especially on Dup I.  ... 
doi:10.1007/978-3-642-19318-7_15 fatcat:zshkpps52bf4haxajkzzn2r7fy

Near-duplicate video detection featuring coupled temporal and perceptual visual structures and logical inference based matching

Mohammed Belkhatir, Bashar Tahayna
2012 Information Processing & Management  
We propose in this paper an architecture for near-duplicate video detection based on: (i) index and query signature based structures integrating temporal and perceptual visual features and (ii) a matching  ...  For matching, we propose to instantiate a retrieval model based on logical inference through the coupling of an N-gram sliding window process and theoretically-sound lattice-based structures.  ...  based on frame-by-frame comparison of visual features).  ... 
doi:10.1016/j.ipm.2011.03.003 fatcat:fnt3jtnek5fbhfl565pfwik32i

An ordered topological representation of 3D triangular mesh facial surface: concept and applications

Naoufel Werghi, Mohamed Rahayem, Johan Kjellander
2012 EURASIP Journal on Advances in Signal Processing  
In addition, it can be used for the extraction of a rich variety of local and global face descriptors. We validate this framework by testing it with raw 3D facial mesh surfaces.  ...  In this article, we present an original unified framework for analyzing, describing, and encoding 3D facial surfaces.  ...  We propose a framework for constructing mesh patterns based on the topological properties of a triangular mesh surface.  ... 
doi:10.1186/1687-6180-2012-144 fatcat:lavkfmbq5zfjla3tzczdpdh3ta

Difficulties in fair performance comparison of multiobjective evolutionary algorithms

Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2022 Proceedings of the Genetic and Evolutionary Computation Conference Companion  
-Performance comparison under anytime algorithm framework may be one direction. Related Research Topic: Anytime EMO algorithm design -This topic has not been actively studied.  ...  3 f 1 (x) f 2 (x) 1 2 3 Algorithm A Pareto front Convergence-oriented f 1 (x) f 2 (x) 1 f 1 (x) f 2 (x) 1 2 3 Algorithm A 4 Convergence-oriented f 1 (x) f 2 (x) Final Population of Each Algorithm Comparison  ...  We may be able to design a new multi-objective (many-objective) algorithm using the solution selection framework.  ... 
doi:10.1145/3520304.3533634 fatcat:lec63avt7jchdesgf7glqcgsjq

Scale-Invariant Features and Polar Descriptors in Omnidirectional Imaging

Z. Arican, P. Frossard
2012 IEEE Transactions on Image Processing  
We then build a novel scale-invariant feature detection framework for any omnidirectional image that can be mapped on the sphere.  ...  We present a formulation based on Riemannian geometry for the definition of differential operators on non-Euclidian manifolds that describe the mirror and lens structure in omnidirectional imaging.  ...  We also describe a feature matching criteria based on Kullback-Leibler (KL) divergence and propose two matching criteria for non-oriented polar descriptors based on L 2 distance and KL-divergence.  ... 
doi:10.1109/tip.2012.2185937 pmid:22287239 fatcat:7bjvseuxm5h4xeyqr5xm6pz7i4

An Ordinal Co-occurrence Matrix Framework for Texture Retrieval

Mari Partio, Bogdan Cramariuc, Moncef Gabbouj
2007 EURASIP Journal on Image and Video Processing  
We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval.  ...  Features obtained using the framework represent the occurrence frequency of certain ordinal relationships at different distances and orientations.  ...  In the comparison we assume that the same number of distances and orientations are used for both textural regions.  ... 
doi:10.1186/1687-5281-2007-017358 fatcat:d6mrrs3nabblfime7cwjqojymm

An Ordinal Co-occurrence Matrix Framework for Texture Retrieval

Mari Partio, Bogdan Cramariuc, Moncef Gabbouj
2007 EURASIP Journal on Image and Video Processing  
We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval.  ...  Features obtained using the framework represent the occurrence frequency of certain ordinal relationships at different distances and orientations.  ...  In the comparison we assume that the same number of distances and orientations are used for both textural regions.  ... 
doi:10.1155/2007/17358 fatcat:xisawz4qcbdt3piki6wlozoyau

Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System

M. Kokou Assogba, Amine Nait Ali
2011 International Journal of Computer Applications  
In this paper, we present a contactless fingerprint system based on a supervised contactless image acquisition and a ridge minutiae extraction method based on orientation computation.  ...  The ridge orientation characteristic extraction is based on a double windowing of the ridge ending points and a single windowing of the ridge bifurcation points.  ...  For comparison, table 1 presents distance values of experiments related in [5] , [6] , [7] and [8] .  ... 
doi:10.5120/2018-2722 fatcat:thfy3sgftndypkhgmm3wry6spi

Boosting Graph Search with Attention Network for Solving the General Orienteering Problem [article]

Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao, Yang Yang
2021 arXiv   pre-print
We propose a novel combination of a variant beam search algorithm and a learned heuristic for solving the general orienteering problem.  ...  We acquire the heuristic with an attention network that takes the distances among nodes as input, and learn it via a reinforcement learning framework.  ...  Meanwhile, quite a few studies for orienteering problems have been conducted. Golden et al.  ... 
arXiv:2109.04730v1 fatcat:l2khvt7izfejflqibxi7uoj3jy

Edge-Directed Interpolation in a Bayesian Framework

Karen Simonyan, Dmitriy Vatolin
2009 Procedings of the British Machine Vision Conference 2009  
In this paper we present a novel framework for Edge-Directed Interpolation (EDI) of still images.  ...  Objective and subjective comparisons with conventional EDI methods corroborate the advantages of the proposed one.  ...  Conclusion In this paper we presented a novel local approach to the edge-directed image interpolation, based on a Bayesian framework.  ... 
doi:10.5244/c.23.50 dblp:conf/bmvc/SimonyanV09 fatcat:fdw3ak4bsfeazc4oyrw2dd77fe

Correlated Microstructure Descriptor for image retrieval

Hussain Dawood, Monagi H. Alkinani, Ahmad Raza, Hassan Dawood, Rubab Mehboob, Sidra Shabbir
2019 IEEE Access  
Correlated microstructures are then identified by correlations established on the basis of proximity and continuation relations.  ...  In this paper, a novel feature descriptor named "correlated microstructure descriptor (CMSD)" is proposed for image retrieval.  ...  In this paper, a novel framework based on primary visual features named Correlated Microstructure Descriptor (CMSD) is proposed.  ... 
doi:10.1109/access.2019.2911954 fatcat:2jutsefpmfbr5fetsvkristbka

CBIR of Brain MR Images using Histogram of Oriented Gradients and Local Binary Patterns: A Comparative Study

Athira T. R, Dr. Abraham Varghese
2015 International Journal of Engineering Research and  
HOG, a shape feature extraction method is proven to be an effective descriptor for object recognition in general.  ...  In this paper, Histogram of Orient Gradients (HOGs) based feature extraction method is used to retrieve similar brain images from large image database.  ...  For this purpose, many general-purpose image retrieval systems have been developed. There are two frameworks: text-based and contentbased. The text-based approach can be traced back to 1970s.  ... 
doi:10.17577/ijertv4is070200 fatcat:jf5tqpofgrdh7dr5nqd3ieznqu
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