Academic literature on the topic '3D bilateral symmetry detection'

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Journal articles on the topic "3D bilateral symmetry detection"

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Hoopes, Daniel, Bruce Sangeorzan, William Ledoux, Connor Pihl, Kylie Edinger, and Matthew Kindig. "3D CT Analysis of Distal Tibiofibular Syndesmosis Symmetry." Foot & Ankle Orthopaedics 2, no. 3 (2017): 2473011417S0000. http://dx.doi.org/10.1177/2473011417s000049.

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Category: Ankle, Trauma Introduction/Purpose: As medical imaging of the syndesmosis prior to ankle injury is usually not available, researchers have diagnosed and surgically reduced syndesmotic disruptions based on presumed symmetry with the healthy contralateral limb. The purposes of this study are to quantify the degree of symmetry present in the DTFS using 3D CT modeling, and to compare the accuracy of common clinical two-dimensional (2D) measurements to 3D CT measurements for assessing syndesmotic symmetry and measuring diastasis. Methods: Bilateral lower limb CT (n=65) were assessed, were
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Herbert, A. M., O. Overbury, J. Singh, and J. Faubert. "Aging and Bilateral Symmetry Detection." Journals of Gerontology Series B: Psychological Sciences and Social Sciences 57, no. 3 (2002): P241—P245. http://dx.doi.org/10.1093/geronb/57.3.p241.

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HUEBNER, KAI, DANIEL WESTHOFF, and JIANWEI ZHANG. "OPTIMIZED QUANTITATIVE BILATERAL SYMMETRY DETECTION." International Journal of Information Acquisition 02, no. 03 (2005): 241–49. http://dx.doi.org/10.1142/s021987890500060x.

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In [Westhoff et al., 2005], we proposed a novel method to determine illumination-invariant features in images. The quantitative bilateral symmetry of a given scene is computed using dynamic programming before applying the resulting symmetry image and feature vector signatures to an omnidirectional motion tracking task. Compared to other approaches to symmetry detection in computer vision, the results of our novel algorithm describe symmetry in terms of an absolute region instead of a relative degree. In this paper, we describe further optimizations and details of the proposed Dynamic Programmi
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Hulleman, J., and A. H. J. Oomes. "Spatial Causality in Bilateral Symmetry Detection." Perception 26, no. 1_suppl (1997): 181. http://dx.doi.org/10.1068/v970179.

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We studied the influence of spatial scale on the detection of vertical and horizontal bilateral symmetry. The causality principle in scale - space theory states that increasing the spatial scale in a representation can only result in a decrease of structure. Consequently, a pattern can be random on the fine scale and symmetric on the coarse scale, never the reverse. Stimuli were bilaterally symmetric or random patterns, black-and-white on a grey background, with a circular aperture. The minimal scale was systematically varied and stimuli ranged from conventional noise patterns, through Dalmati
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Wookyoung Jung and Takashi Yamauchi. "Symmetry Detection of 3D Objects." Journal of Cognitive Science 12, no. 1 (2011): 33–66. http://dx.doi.org/10.17791/jcs.2011.12.1.33.

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Herbert, Andrew M., and G. Keith Humphrey. "Bilateral Symmetry Detection: Testing a ‘Callosal’ Hypothesis." Perception 25, no. 4 (1996): 463–80. http://dx.doi.org/10.1068/p250463.

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At the end of the 19th century Mach observed that vertical symmetry is more easily perceived than is symmetry at other orientations, and proposed this resulted from bilateral symmetry in the visual system. Numerous studies of symmetry detection have been conducted, but none has been concentrated on Mach's proposal. Recent interpretations of Mach's hypothesis suggest the corpus callosum mediates the vertical-symmetry advantage. In this ‘callosal’ hypothesis it is suggested that the detectability of symmetry should be narrowly tuned around vertical, and that presentation of patterns away from fi
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Dakin, S. C., and R. J. Watt. "Detection of bilateral symmetry using spatial filters." Spatial Vision 8, no. 4 (1994): 393–413. http://dx.doi.org/10.1163/156856894x00071.

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Evans, Christopher S., Peter Wenderoth, and Ken Cheng. "Detection of Bilateral Symmetry in Complex Biological Images." Perception 29, no. 1 (2000): 31–42. http://dx.doi.org/10.1068/p2905.

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Wai Ho Li, Alan M. Zhang, and Lindsay Kleeman. "Bilateral Symmetry Detection for Real-time Robotics Applications." International Journal of Robotics Research 27, no. 7 (2008): 785–814. http://dx.doi.org/10.1177/0278364908092131.

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Wenderoth, Peter. "The Effects on Bilateral-Symmetry Detection of Multiple Symmetry, near Symmetry, and Axis Orientation." Perception 26, no. 7 (1997): 891–904. http://dx.doi.org/10.1068/p260891.

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Palmer and Hemenway (1978 Journal of Experimental Psychology: Human Perception and Performance4 691–702) reported that shapes with multiple axes of symmetry are processed faster than those with single symmetry even when trials are blocked so that the subject knows that any symmetry axis will be vertical. Because their model of symmetry detection postulated a two-stage process in which all orientations are searched crudely at first, in no particular order, followed by second-stage scrutiny, the continued salience of multiple over single symmetry with blocking could not be explained. They claime
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Dissertations / Theses on the topic "3D bilateral symmetry detection"

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Thórhallsson, Torfi. "Symmetric objects in multiple affine views." Thesis, University of Oxford, 2000. http://ora.ox.ac.uk/objects/uuid:49ec4596-7086-4645-81f8-8dacf48b694a.

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This thesis is concerned with the utilization of object symmety as a cue for segmentation and object recognition. In particular it investigates the problem of detecting 3D bilaterally symmetric objects from affine views. The first part of the thesis investigates the problem of detecting 3D bilateral symmetry within a scene from known point correspondences across two or more affine views. We begin by extending the notion of skewed symmetry to three dimensions, and give a definition in terms of degenerate structure that applies equally to an affine 3D structure or to point correspondences across
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Jolly, Lok-Teng Sio, and 蕭洛婷. "3D Surface Configuration Modulated 2D Symmetry Detection." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/26491995585444820225.

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碩士<br>國立臺灣大學<br>心理學研究所<br>99<br>To perceive a symmetric pattern, an observer needs to find correspondence between two image elements across the symmetric axis. It implies a correspondence relationship between perceptual mechanisms responding to these elements. To perceive a 3D structure in random dot stereogram (RDS), it is shown that perceptual mechanisms responding to different disparities would inhibit each other; and would excite the neighborhoods where the disparity varies smoothly except for a small fraction at the object boundaries. We thus investigated whether putting corresponding ele
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Book chapters on the topic "3D bilateral symmetry detection"

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Elawady, Mohamed, Cécile Barat, Christophe Ducottet, and Philippe Colantoni. "Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms." In Advanced Concepts for Intelligent Vision Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48680-2_2.

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Gonzalez, R., and L. Lincoln. "Fast Bilateral Symmetry Detection Using Inverted Gradient Hash Maps." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46909-6_8.

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Tedjokusumo, Jefry, and Wee Kheng Leow. "Normalization and Alignment of 3D Objects Based on Bilateral Symmetry Planes." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-69423-6_8.

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Xue, Fan, Ke Chen, and Weisheng Lu. "Architectural Symmetry Detection from 3D Urban Point Clouds: A Derivative-Free Optimization (DFO) Approach." In Advances in Informatics and Computing in Civil and Construction Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00220-6_61.

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"Detection of bilateral symmetry using spatial filters." In Human Symmetry Perception and Its Computational Analysis. Psychology Press, 2003. http://dx.doi.org/10.4324/9781410606600-16.

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"Independence of bilateral symmetry detection from a gravitational reference frame." In Human Symmetry Perception and Its Computational Analysis. Psychology Press, 2003. http://dx.doi.org/10.4324/9781410606600-10.

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"The role of pattern outline in bilateral symmetry detection with briefly flashed dot patterns." In Human Symmetry Perception and Its Computational Analysis. Psychology Press, 2003. http://dx.doi.org/10.4324/9781410606600-7.

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Sriraam, Natarajan, Leema Murali, Amoolya Girish, et al. "Classification of Breast Thermograms Using Statistical Moments and Entropy Features with Probabilistic Neural Networks." In Data Analytics in Medicine. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1204-3.ch066.

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Breast cancer is considered as one of the life-threatening disease among woman population in developing as well as developed countries. This specific study reports on classification of breast thermograms using probabilistic neural network (PNN) with four statistical moments features mean, standard deviation, skewness and kurtosis and two entropy features, Shannon entropy and Wavelet packet entropy. The CLAHE histogram equalization algorithm with uniform and Rayleigh distributions were considered for contrast enhancement of breast thermal images. The asymmetry detection was performed by applying bilateral ratio. A total of 95 test images (normal = 53, abnormal = 42) was considered. Simulation study shows that CLAHE -RD with wavelet entropy features confirms the existence of symmetry on the right and left breast thermal images. An overall classification accuracy of 92.5% was achieved using the proposed multifeatures with PNN classifier. The proposed technique thus confirms the suitability as a screening tool for asymmetry detection as well as classification of breast thermograms.
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Sriraam, Natarajan, Leema Murali, Amoolya Girish, et al. "Classification of Breast Thermograms Using Statistical Moments and Entropy Features with Probabilistic Neural Networks." In Deep Learning and Neural Networks. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0414-7.ch065.

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Breast cancer is considered as one of the life-threatening disease among woman population in developing as well as developed countries. This specific study reports on classification of breast thermograms using probabilistic neural network (PNN) with four statistical moments features mean, standard deviation, skewness and kurtosis and two entropy features, Shannon entropy and Wavelet packet entropy. The CLAHE histogram equalization algorithm with uniform and Rayleigh distributions were considered for contrast enhancement of breast thermal images. The asymmetry detection was performed by applying bilateral ratio. A total of 95 test images (normal = 53, abnormal = 42) was considered. Simulation study shows that CLAHE -RD with wavelet entropy features confirms the existence of symmetry on the right and left breast thermal images. An overall classification accuracy of 92.5% was achieved using the proposed multifeatures with PNN classifier. The proposed technique thus confirms the suitability as a screening tool for asymmetry detection as well as classification of breast thermograms.
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Conference papers on the topic "3D bilateral symmetry detection"

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Thorhallsson, T. "Detecting Bilateral Symmetry of 3D Point Sets from Affine Views." In British Machine Vision Conference 1996. British Machine Vision Association, 1996. http://dx.doi.org/10.5244/c.10.60.

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Cho, Minsu, and Kyoung Mu Lee. "Bilateral Symmetry Detection via Symmetry-Growing." In British Machine Vision Conference 2009. British Machine Vision Association, 2009. http://dx.doi.org/10.5244/c.23.4.

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Atadjanov, Ibragim, and Seungkyu Lee. "Bilateral symmetry detection based on scale invariant structure feature." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7351444.

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Sawada, Tadamasa, and Zygmunt Pizlo. "Symmetry detection in 3D scenes." In Electronic Imaging 2007, edited by Charles A. Bouman, Eric L. Miller, and Ilya Pollak. SPIE, 2007. http://dx.doi.org/10.1117/12.715160.

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Liu, Yanxi, Robert T. Collins, and William E. Rothfus. "Automatic bilateral symmetry (midsagittal) plane extraction from pathological 3D neuroradiological images." In Medical Imaging '98, edited by Kenneth M. Hanson. SPIE, 1998. http://dx.doi.org/10.1117/12.310886.

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Prima, Sylvain, and Olivier Commowick. "Multimodal rigid-body registration of 3D brain images using bilateral symmetry." In SPIE Medical Imaging, edited by Sebastien Ourselin and David R. Haynor. SPIE, 2013. http://dx.doi.org/10.1117/12.2007075.

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Li, Ke, Gilles Foucault, and Jean-Claude Le´on. "Symmetry Plane Detection for 3D CAD Volumes." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28338.

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Symmetry properties of components have many applications during a product development process, including shape transformations for modification purposes, Finite Element Analysis (FEA), model retrieval, etc. This paper presents an algorithm to generate 3D model symmetry planes using the B-Rep model of CAD volumes. In the framework of CAD software, 3D models are described as B-Rep volume models. Design processes of volume models strongly rely on extrusion and revolution primitives from sketches containing essentially straight line segments and circular arcs. Hence, the boundary surfaces consider
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Li, Bo, Henry Johan, Yuxiang Ye, and Yijuan Lu. "Efficient view-based 3d reflection symmetry detection." In SIGGRAPH Asia 2014 Creative Shape Modeling and Design. ACM Press, 2014. http://dx.doi.org/10.1145/2669043.2669045.

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Cailliere, D., F. Denis, D. Pele, and A. Baskurt. "3D mirror symmetry detection using Hough transform." In 2008 15th IEEE International Conference on Image Processing. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4712119.

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Tewari, Ayush, Dhwanit Gupta, and Jayanthi Sivaswamy. "Bilateral symmetry based approach for joint detection of landmarks in retinal images." In 2014 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2014. http://dx.doi.org/10.1109/spcom.2014.6983952.

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