نتایج جستجو برای: pattern orientation histogram

تعداد نتایج: 457734  

2017
M. Vasanthakumar

Integral histogram image can gather speed the computing process of feature algorithm in computer vision, butex habits high working out complexity and incompetent memory access. In this paper, we propose a configurable parallel architecture to improve the computing efficiency of integral histogram. The design in the several integral objects is well supported for an integral histogram image such ...

Journal: :Journal of vision 2012
J Edwin Dickinson Jessica McGinty Kathryn E Webster David R Badcock

Radial frequency (RF) patterns, paths deformed from circular by a sinusoidal modulation of radius, have proved valuable stimuli for investigation of visual shape processing. Their utility relies upon evidence that thresholds for detection of modulation decrease, as cycles of modulation are added, at a rate that cannot be accounted for by the improving probability of detection of any single cycl...

Journal: :CoRR 2011
Franco Rino

Gabor filters can extract multi-orientation and multiscale features from face images. Researchers have designed different ways to use the magnitude of the filtered results for face recognition: Gabor Fisher classifier exploited only the magnitude information of Gabor magnitude pictures (GMPs); Local Gabor Binary Pattern uses only the gradient information. In this paper, we regard GMPs as smooth...

2013
DoHyung Kim

© 2013 Woo-han Yun et al. 1021 http://dx.doi.org/10.4218/etrij.13.2013.0054 Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis ch...

ژورنال: اعتیاد پژوهی 2021

Objective: The aim of this study was to design and test a model of familial (family communication pattern including conversation orientation and conformity orientation, family conflicts and parental religiosity) and individual (self-esteem, self-efficacy and resilience) factors of substance use tendency in students of University of Mohaghegh Ardabili. Method: The present study was descriptive-c...

2016
Julie Delon Agnès Desolneux Simone Marinai Marco Gori Olivier Chapelle Patrick Haffner

Handwritten character recognition is a difficult problem due to the great variations of writing styles, different size and orientation angle of the characters. The scanned image is segmented into paragraphs using spatial space detection technique, paragraphs into lines using vertical histogram, lines into words using horizontal histogram, and words into character image glyphs using horizontal h...

2014
T. Senthilkumar S. Veluchamy

Information jointly contained in image space, scale and orientation domains can provide rich important clues not seen in either individual of these domains. The position, spatial frequency and orientation selectivity properties are believed to have an important role in visual perception. This paper proposes a novel face representation and recognition approach by exploring information jointly in...

Journal: :Pattern Recognition 2010
Guang-Hai Liu Lei Zhang Yingkun Hou Zuoyong Li Jing-Yu Yang

This paper presents a novel image feature representation method, called multi-texton histogram (MTH), for image retrieval. MTH integrates the advantages of co-occurrence matrix and histogram by representing the attribute of co-occurrence matrix using histogram. It can be considered as a generalized visual attribute descriptor but without any image segmentation or model training. The proposed MT...

Journal: :Pattern Recognition Letters 1992
Roberto Brunelli

Brunelli, R., Optimal histogram partitioning using a simulated annealing technique, Pattern Recognition Letters 13 (1992) 58 1-586. A method for histogram partitioning based on the maximization of a criterium function is proposed. The choice of the criterium can be made using a priori information to mimic human performance as far as possible.

2010
C. Sureshkumar

Handwritten character recognition is a difficult problem due to the great variations of writing styles, different size and orientation angle of the characters. The scanned image is segmented into paragraphs using spatial space detection technique, paragraphs into lines using vertical histogram, lines into words using horizontal histogram, and words into character image glyphs using horizontal h...

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