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

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Chen, Chien-Chung, and Lok-Teng Sio. "3D surface configuration modulates 2D symmetry detection." Vision Research 107 (February 2015): 86–93. http://dx.doi.org/10.1016/j.visres.2014.12.007.

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12

Sipiran, Ivan, Robert Gregor, and Tobias Schreck. "Approximate Symmetry Detection in Partial 3D Meshes." Computer Graphics Forum 33, no. 7 (2014): 131–40. http://dx.doi.org/10.1111/cgf.12481.

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13

Sawada, T. "Visual detection of symmetry of 3D shapes." Journal of Vision 10, no. 6 (2010): 4. http://dx.doi.org/10.1167/10.6.4.

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14

Sio, Lok-Teng, and Chien-Chung Chen. "3D Surface Configuration Modulated 2D Symmetry Detection." i-Perception 2, no. 4 (2011): 404. http://dx.doi.org/10.1068/ic404.

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15

Zabrodsky, Hagit, and Daphna Weinshall. "Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences." Computer Vision and Image Understanding 67, no. 1 (1997): 48–57. http://dx.doi.org/10.1006/cviu.1996.0506.

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16

Zhang, Liyan, Anshuman Razdan, Gerald Farin, John Femiani, Myungsoo Bae, and Charles Lockwood. "3D face authentication and recognition based on bilateral symmetry analysis." Visual Computer 22, no. 1 (2005): 43–55. http://dx.doi.org/10.1007/s00371-005-0352-9.

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17

He, Chen, Lei Wang, Yonghui Zhang, and Chunmeng Wang. "Dominant Symmetry Plane Detection for Point-Based 3D Models." Advances in Multimedia 2020 (October 27, 2020): 1–8. http://dx.doi.org/10.1155/2020/8861367.

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In this paper, a symmetry detection algorithm for three-dimensional point cloud model based on weighted principal component analysis (PCA) is proposed. The proposed algorithm works as follows: first, using the point element’s area as the initial weight, a weighted PCA is performed and a plane is selected as the initial symmetry plane; and then an iterative method is used to adjust the approximate symmetry plane step by step to make it tend to perfect symmetry plane (dominant symmetry plane). In each iteration, we first update the weight of each point based on a distance metric and then use the

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18

Herbert, Andrew M., G. Keith Humphrey, and Pierre Jolicoeur. "The detection of bilateral symmetry: Effects of surrounding frames." Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale 48, no. 1 (1994): 140–48. http://dx.doi.org/10.1037/1196-1961.48.1.140.

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19

Nagar, Rajendra, and Shanmuganathan Raman. "3DSymm: Robust and Accurate 3D Reflection Symmetry Detection." Pattern Recognition 107 (November 2020): 107483. http://dx.doi.org/10.1016/j.patcog.2020.107483.

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20

Changming Sun and J. Sherrah. "3D symmetry detection using the extended Gaussian image." IEEE Transactions on Pattern Analysis and Machine Intelligence 19, no. 2 (1997): 164–68. http://dx.doi.org/10.1109/34.574800.

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21

Mitra, Niloy J., Leonidas J. Guibas, and Mark Pauly. "Partial and approximate symmetry detection for 3D geometry." ACM Transactions on Graphics 25, no. 3 (2006): 560–68. http://dx.doi.org/10.1145/1141911.1141924.

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22

Yu, Ying, Alexander A. Petrov, and James T. Todd. "Bilateral Symmetry Has No Effect on Stereoscopic Shape Judgments." i-Perception 12, no. 4 (2021): 204166952110426. http://dx.doi.org/10.1177/20416695211042644.

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A single experiment is reported that measured the apparent stereoscopic shapes of symmetric and asymmetric objects at different viewing distances. The symmetric stimuli were specifically designed to satisfy the minimal conditions for computing veridical shape from symmetry. That is to say, they depicted complex, bilaterally symmetric, plane-faced polyhedra whose symmetry planes were oriented at an angle of 45° relative to the line of sight. The asymmetric stimuli were distorted versions of the symmetric ones in which the 3D position of each vertex was randomly displaced. Prior theoretical anal

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23

Wenderoth, Peter, and Sebastian Welsh. "The Effects of Cuing on the Detection of Bilateral Symmetry." Quarterly Journal of Experimental Psychology Section A 51, no. 4 (1998): 883–903. http://dx.doi.org/10.1080/713755791.

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24

Gurfinkel, V., M. Lipshits, J. McIntyre, and G. Leone. "Independence of bilateral symmetry detection from a gravitational reference frame." Spatial Vision 9, no. 1 (1995): 127–37. http://dx.doi.org/10.1163/156856895x00142.

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25

Ikeda, Masami, and Akira Ishiguchi. "Human efficiency for symmetry detection on 3D bumpy surface." Japanese journal of psychology 75, no. 5 (2004): 407–14. http://dx.doi.org/10.4992/jjpsy.75.407.

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26

Liu, Hui, Jiazhi Xia, Jianer Chen, and Jianxin Wang. "Detection of hierarchical intrinsic symmetry structure in 3D models." Computers & Graphics 70 (February 2018): 8–16. http://dx.doi.org/10.1016/j.cag.2017.07.035.

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27

Li, Bo, Henry Johan, Yuxiang Ye, and Yijuan Lu. "Efficient 3D reflection symmetry detection: A view-based approach." Graphical Models 83 (January 2016): 2–14. http://dx.doi.org/10.1016/j.gmod.2015.09.003.

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28

ten Berg, Paul W. L., Johannes G. G. Dobbe, Simon D. Strackee, and Geert J. Streekstra. "Three-Dimensional Assessment of Bilateral Symmetry of the Scaphoid: An Anatomic Study." BioMed Research International 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/547250.

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Preoperative 3D CT imaging techniques provide displacement analysis of the distal scaphoid fragment in 3D space, using the matched opposite scaphoid as reference. Its accuracy depends on the presence of anatomical bilateral symmetry, which has not been investigated yet using similar techniques. Our purpose was to investigate symmetry by comparing the relative positions of distal and proximal poles between sides. We used bilateral CT scans of 19 adult healthy volunteers to obtain 3D scaphoid models. Left proximal and distal poles were matched to corresponding mirrored right sides. The left-to-r

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29

Chen, Qingsheng, Cien Fan, Weizheng Jin, et al. "EPGNet: Enhanced Point Cloud Generation for 3D Object Detection." Sensors 20, no. 23 (2020): 6927. http://dx.doi.org/10.3390/s20236927.

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Three-dimensional object detection from point cloud data is becoming more and more significant, especially for autonomous driving applications. However, it is difficult for lidar to obtain the complete structure of an object in a real scene due to its scanning characteristics. Although the existing methods have made great progress, most of them ignore the prior information of object structure, such as symmetry. So, in this paper, we use the symmetry of the object to complete the missing part in the point cloud and then detect it. Specifically, we propose a two-stage detection framework. In the

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30

Gao, C. H., F. Langbein, D. Marshall, R. Martin, Yan Li, and Z. Yang. "Partial Approximate Symmetry Detection of Geometric Model." Materials Science Forum 471-472 (December 2004): 702–6. http://dx.doi.org/10.4028/www.scientific.net/msf.471-472.702.

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Engineering geometric models are often designed to have symmetries and other regularities. In knowledge based reuse, creative design and design for mass customization, to have the information of such symmetries and other regularities from a geometric model is very useful. And this can make us understand more about the geometric model. In reverse engineering, B-rep models are created by fitting surfaces from point sets obtained by scanning an object using a 3D laser scanner. Each fitted surface is determined independently. The reverse engineered object can be improved by imposing these symmetri

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31

Gonzalez, R., and L. Lincoln. "Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash Maps." EAI Endorsed Transactions on Context-aware Systems and Applications 4, no. 11 (2017): 152336. http://dx.doi.org/10.4108/eai.6-3-2017.152336.

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32

Akbar, Habib, Khizar Hayat, Nuhman ul Haq, and Usama Ijaz Bajwa. "Bilateral Symmetry Detection on the Basis of Scale Invariant Feature Transform." PLoS ONE 9, no. 8 (2014): e103561. http://dx.doi.org/10.1371/journal.pone.0103561.

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33

Reboul, Cyril F., Simon Kiesewetter, Dominika Elmlund, and Hans Elmlund. "Point-group symmetry detection in three-dimensional charge density of biomolecules." Bioinformatics 36, no. 7 (2019): 2237–43. http://dx.doi.org/10.1093/bioinformatics/btz904.

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Abstract Motivation No rigorous statistical tests for detecting point-group symmetry in three-dimensional (3D) charge density maps obtained by electron microscopy (EM) and related techniques have been developed. Results We propose a method for determining the point-group symmetry of 3D charge density maps obtained by EM and related techniques. Our ab initio algorithm does not depend on atomic coordinates but utilizes the density map directly. We validate the approach for a range of publicly available single-particle cryo-EM datasets. In straightforward cases, our method enables fully automated

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34

Aguilar, Wendy, and Ernesto Bribiesca. "Symmetry detection in 3D chain coded discrete curves and trees." Pattern Recognition 48, no. 4 (2015): 1420–39. http://dx.doi.org/10.1016/j.patcog.2014.09.024.

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35

Yu, Ying, James T. Todd, and Alexander A. Petrov. "The Effects of Bilateral Symmetry, Viewing Distance, and Scene Context on Apparent 3D Shape." Journal of Vision 19, no. 10 (2019): 197c. http://dx.doi.org/10.1167/19.10.197c.

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36

Ceylan, Duygu, Niloy J. Mitra, Youyi Zheng, and Mark Pauly. "Coupled structure-from-motion and 3D symmetry detection for urban facades." ACM Transactions on Graphics 33, no. 1 (2014): 1–15. http://dx.doi.org/10.1145/2517348.

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37

Di Angelo, Luca, Paolo Di Stefano, and Andrea Spezzaneve. "A method for 3D detection of symmetry line in asymmetric postures." Computer Methods in Biomechanics and Biomedical Engineering 16, no. 11 (2013): 1213–20. http://dx.doi.org/10.1080/10255842.2012.659245.

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38

MELKEMI, MAHMOUD, FREDERIC CORDIER, and NICKOLAS S. SAPIDIS. "A PROVABLE ALGORITHM TO DETECT WEAK SYMMETRY IN A POLYGON." International Journal of Image and Graphics 13, no. 01 (2013): 1350002. http://dx.doi.org/10.1142/s0219467813500022.

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This paper deals with the problem of detecting "weak symmetry" in a polygon, which is a special bijective and continuous mapping between the vertices of the given polygon. An application of this work is the automatic reconstruction of 3D polygons symmetric with respect to a plane from free-hand sketches of weakly-symmetric 2D polygons. We formalize the weak-symmetry notion and highlight its many properties which lead to an algorithm detecting it. The closest research work to the proposed approach is the detection of skewed symmetry. Skewed symmetry detection deals only with reconstruction of p

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39

Wagemans, Johan, Luc Van Gool, and Géry d'Ydewalle. "Orientational Effects and Component Processes in Symmetry Detection." Quarterly Journal of Experimental Psychology Section A 44, no. 3 (1992): 475–508. http://dx.doi.org/10.1080/14640749208401295.

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In previous research on symmetry detection, factors contributing to orientational effects (axis and virtual lines connecting symmetrically positioned dots) and component processes (axis selection and pointwise evaluation) have always been confounded. The reason is the restriction to bilateral symmetry (BS), with pointwise correspondences being orthogonal to the axis of symmetry. In our experiments, subjects had to discriminate random dot patterns from symmetries defined by combining 12 axis orientations (every 15°) with seven reflection angles (0°, yielding BS, and three clockwise and counterc

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40

Sawada, Tadamasa. "Influence of 3D Centro-Symmetry on a 2D Retinal Image." Symmetry 12, no. 11 (2020): 1863. http://dx.doi.org/10.3390/sym12111863.

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An object is 3D centro-symmetrical if the object can be segmented into two halves and the relationship between them can be represented by a combination of reflection about a plane and a rotation through 180° about an axis that is normal to the plane. A 2D orthographic image of the 3D centro-symmetrical object is always 2D rotation-symmetrical. Note that the human visual system is known to be sensitive to 2D rotational symmetry. This human sensitivity to 2D rotational symmetry might also be used to detect 3D centro-symmetry. If it is, can this detection of 3D centro-symmetry be helpful for the

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41

Runte, Christoph, and Dieter Dirksen. "Symmetry and Aesthetics in Dentistry." Symmetry 13, no. 9 (2021): 1741. http://dx.doi.org/10.3390/sym13091741.

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Animal bodies in general and faces in particular show mirror symmetry with respect to the median-sagittal plane, with exceptions rarely occurring. Bilateral symmetry to the median sagittal plane of the body also evolved very early. From an evolutionary point of view, it should therefore have fundamental advantages, e.g., more effective locomotion and chewing abilities. On the other hand, the recognition of bilaterally symmetric patterns is an important module in our visual perception. In particular, the recognition of faces with different spatial orientations and their identification is strong

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42

Wenderoth, Peter. "The Effects of the Contrast Polarity of Dot-Pair Partners on the Detection of Bilateral Symmetry." Perception 25, no. 7 (1996): 757–71. http://dx.doi.org/10.1068/p250757.

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Detection of vertical bilateral symmetry has previously been studied in patterns composed of black or white dots on a grey background under four conditions: (a) same contrast (black or white) for all dots (called BB or WW, for ‘all black or all white’); (b) half of the dots black and half white with positive correspondence between symmetrical dot pairs (called MA for ‘matched’); (c) half of the dots black and half white with negative correspondence between symmetrical dot pairs (called OPP for ‘opposite’); and (d) black (white) dots on one side of the axis and white (black) dots on the other (

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43

Brooks, Anna, and Rick van der Zwan. "The Role of ON- and OFF-Channel Processing in the Detection of Bilateral Symmetry." Perception 31, no. 9 (2002): 1061–72. http://dx.doi.org/10.1068/p3387.

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We present evidence that grouping for luminance does not take precedence over the detection of bilaterally symmetrical patterns. Using single-axis and double-axis images, we found that element pairs within which luminance is held constant drive symmetry-detection mechanisms more effectively than pairs within which luminance varies. Moreover, the performance decrement observed for patterns defined by element pairs within which luminance varies is not specific to interchannel variation. Luminance variation within the ON and OFF channels has the same effect as variation between the channels on th

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44

Wenderoth, Peter. "The role of pattern outline in bilateral symmetry detection with briefly flashed dot patterns." Spatial Vision 9, no. 1 (1995): 57–77. http://dx.doi.org/10.1163/156856895x00115.

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45

Wang, Wencheng, Junhui Ma, Panpan Xu, and Yiyao Chu. "Intrinsic Symmetry Detection on 3D Models with Skeleton‐guided Combination of Extrinsic Symmetries." Computer Graphics Forum 38, no. 7 (2019): 617–28. http://dx.doi.org/10.1111/cgf.13865.

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46

Lewis, Michael B. "Fertility affects asymmetry detection not symmetry preference in assessments of 3D facial attractiveness." Cognition 166 (September 2017): 130–38. http://dx.doi.org/10.1016/j.cognition.2017.05.034.

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47

Yin, X. X., B. W. H. Ng, K. Ramamohanarao, and D. Abbott. "Tensor based sparse decomposition of 3D shape for visual detection of mirror symmetry." Computer Methods and Programs in Biomedicine 108, no. 2 (2012): 629–43. http://dx.doi.org/10.1016/j.cmpb.2011.10.007.

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48

Šoliūnas, Alvydas, and Ona Gurčinienė. "ATSPINDŽIO SIMETRIJOS DETEKCIJOS YPATUMAI." Psichologija 24 (January 1, 2001): 69–82. http://dx.doi.org/10.15388/psichol.2001..4409.

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Nors simetrija suvokiama iš pirmo žvilgsnio greitai ir be pastangų, nėra aišku, kaip vyksta šis procesas, kokie yra simetrijos detekcijos mechanizmai? Straipsnyje apžvelgiami įvairių simetrijos rūšių ypatumai, didžiausią dėmesį skiriant atspindžio simetrijai. Aptartos pagrindinės simetrijos detekcijos teorijos ir modeliai. Eksperimentinė straipsnio dalis skirta siekimui pagilinti turimas žinias eksperimentiniais rezultatais, gautais su kitokio tipo stimulais ir kitokia užduotimi, nei naudota kitų tyrinėtojų. Testo stimulai buvo 4, 6, 7, arba 8 vertikalių ir horizontalių linijos atkarpų figūros

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49

Dalvit Carvalho da Silva, Rodrigo, Thomas Richard Jenkyn, and Victor Alexander Carranza. "Convolutional Neural Networks and Geometric Moments to Identify the Bilateral Symmetric Midplane in Facial Skeletons from CT Scans." Biology 10, no. 3 (2021): 182. http://dx.doi.org/10.3390/biology10030182.

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In reconstructive craniofacial surgery, the bilateral symmetry of the midplane of the facial skeleton plays an important role in surgical planning. Surgeons can take advantage of the intact side of the face as a template for the malformed side by accurately locating the midplane to assist in the preparation of the surgical procedure. However, despite its importance, the location of the midline is still a subjective procedure. The aim of this study was to present a 3D technique using a convolutional neural network and geometric moments to automatically calculate the craniofacial midline symmetr

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50

Ashraf, Haroon, Wail A. Mousa, and Saleh Al Dossary. "Sobel filter for edge detection of hexagonally sampled 3D seismic data." GEOPHYSICS 81, no. 6 (2016): N41—N51. http://dx.doi.org/10.1190/geo2015-0495.1.

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In today’s industry, automatic detection of geologic features such as faults and channels is a challenging problem when the quality of data is not good. Edge detection filters are generally applied for the purpose of locating such features. Until now, edge detection has been carried out on rectangularly sampled 3D seismic data. The computational cost of edge detection can be reduced by exploring other sampling approaches instead of the regular rectangular sampling commonly used. Hexagonal sampling is an alternative to rectangular sampling that requires 13.4% less samples for the same level of

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