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Identification of deformation using invariant surface information
2004
Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display
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This study attempts to develop a technique for the identification of organ deformation and its separation from the problem of rigid alignment. ...
The basic premise is to identify areas of the surface that are minimally deformed and use only these regions for a rigid registration. To that end, two methods were developed. ...
The authors would like to acknowledge FarField Technology for the aid in the use of their surface fitting software based on Radial Basis Functions. ...
doi:10.1117/12.536707
dblp:conf/miigp/CashSCDCMG04
fatcat:xdadqwdarfgjtikke6msi4hram
Robust 3D Face Recognition by Using Shape Filtering
2010
Procedings of the British Machine Vision Conference 2010
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Mid-frequency band is selected for expression-invariant feature which contains most of the discriminative personal-specific deformation information. ...
By using shape filter, it offers a dramatic performance improvement for both accuracy and robustness. ...
First of all, our face segment algorithm is based on nose tip detection. Depth information based approach is not robust. ...
doi:10.5244/c.24.65
dblp:conf/bmvc/CaiD10
fatcat:xqvxtumjcbfnpjxmhs6szzvnca
3D Model Identification Using Weighted Implicit Shape Representation and Panoramic View
2017
Applied Sciences
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The precision of the identification is 92% with 1200 models that consist of 24 deformed versions of 50 classes. The average feature size and matching time are 4.1 KB and 1.9 s. ...
The major advantage of the WISR is reduction of the influences caused by shape deformation and partial removal. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app7080764
fatcat:aahzm3snxjcqpeapfrvizip72a
3D face recognition by constructing deformation invariant image
2008
Pattern Recognition Letters
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Based on the observation that facial surfaces across different expressions can be modeled as similar isometric transformations, in this paper a novel deformation invariant image for robust 3D face recognition ...
Finally, deformation invariant image is constructed by evenly sampling points from the selected geodesic level curves in the intensity image. ...
In 3D face recognition, depth information and surface features are used to characterize an individual. ...
doi:10.1016/j.patrec.2008.03.018
fatcat:is7amtd37bdgvmmgasmqxhph34
Curvature based signatures for object description and recognition
[chapter]
1996
Lecture Notes in Computer Science
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An invariant related to Gaussian curvature at an object point is developed based upon the covariance matrix of photometric values related to surface normals within a local neighborhood about the point. ...
We employ three illumination conditions, two of which are completely unknown. We never need to explicitly know the surface normal at a point. ...
Introduction The recognition of three-dimensional objects using two-dimensional images and the efficient representation of the shape information are of fundamental importance in computer vision and robotics ...
doi:10.1007/3-540-61750-7_25
fatcat:pzzbbk64wvcubfagglznk6mqvy
Page 3875 of Psychological Abstracts Vol. 81, Issue 9
[page]
1994
Psychological Abstracts
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Observers were presented with point-light displays of an actor (either an old or young man, or a Rottweiler dog) on rigid and deformable surfaces. ...
(U Cin- cinnati, Dept of Psychology, OH) Visual perception of support- surface deformability from human body kinematics. Ecologica/ Psychology, 1994, Vol 6(1), 33-64. ...
Tissue Deformation Recovery with Gaussian Mixture Model Based Structure from Motion
[chapter]
2012
Lecture Notes in Computer Science
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The aim of this work is to propose a novel framework for intra-operative freeform deformation recovery. ...
The practical value of the method is further demonstrated by deformation recovery on in vivo data recorded from a robotic assisted minimally invasive surgical procedure. ...
Mountney for his help in the collection of the phantom data used in this work. ...
doi:10.1007/978-3-642-32630-1_5
fatcat:syegj3yimnadrdvqaw6cn6sg6y
Robust personal authentication using finger knuckle geometric and texture features
2016
Ain Shams Engineering Journal
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features of an acquired finger back knuckle surface. ...
The geometric features are derived through Angular Geometric Analysis Method (AGAM) which extracts angular-based feature information for unique identification. ...
Feature extraction for identification is carried out by means of geometric methods that extract the curvature shape information of the finger knuckle print. ...
doi:10.1016/j.asej.2016.04.006
fatcat:zpu2sq3rbzfijgpi5l4xwqvrky
The perception of 3-D shape from shadows cast onto curved surfaces
2010
Journal of Vision
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Previous research on the perception of 3-D shape from cast shadows has only examined the informativeness of shadows cast upon flat background surfaces. ...
In our experiments, observers viewed deforming or static shadows of naturally-shaped objects that were cast upon flat and curved background surfaces. ...
The identification accuracy is plotted as functions of shadow type (deforming vs. static shadows) and background surface curvature. ...
doi:10.1167/9.8.60
fatcat:6t6dpgjp3fborkfrhiq5pk4rli
The perception of 3-D shape from shadows cast onto curved surfaces
2009
Acta Psychologica
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Previous research on the perception of 3-D shape from cast shadows has only examined the informativeness of shadows cast upon flat background surfaces. ...
In our experiments, observers viewed deforming or static shadows of naturally-shaped objects that were cast upon flat and curved background surfaces. ...
The identification accuracy is plotted as functions of shadow type (deforming vs. static shadows) and background surface curvature. ...
doi:10.1016/j.actpsy.2009.01.007
pmid:19264291
fatcat:snd6l4tbfzh6bktnqtvp6uqnbu
Real time non-rigid surface detection based on binary robust independent elementary features
2015
Journal of Applied Research and Technology
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In those backgrounds of questions, we can propose a framework that is the surface deformation, which is based on the detection method of BRIEF to calculate object surface deformation. ...
, and change of the viewpoint makes the surface deformation, but in a vision of the computer is a challenge. ...
non-rigid surface deformation detection. ...
doi:10.1016/j.jart.2015.06.005
fatcat:o2tjkwx555ft7adnly7mlcjdny
Qualitative primitive identification using fuzzy clustering and invariant approach
1996
Image and Vision Computing
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Once the best-fitting quadric shells have been recovered, five types of invariants are used to classify the qualitative shapes and represent the geometric parameters of the shapes. ...
The integration of the partition with the invariant analysis makes it possible to identify qualitative features from depth maps. ...
Krishnapuram of the University of Missouri and Professor M. Shiraishi of Ibaraki University for the helpful discussions. ...
doi:10.1016/0262-8856(95)01053-x
fatcat:p3exu67qvracdng3f55432k3qi
Learning Canonical 3D Object Representation for Fine-Grained Recognition
[article]
2021
arXiv
pre-print
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and vehicle re-identification. ...
to be invariant under 3D geometric variation. ...
We only use visual information without using either spatio-temporal information or license plate. ...
arXiv:2108.04628v1
fatcat:djmdeq2xmffs3khywwkubvekd4
3D Face Recognition
[chapter]
2011
New Approaches to Characterization and Recognition of Faces
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The 3D information (depth and texture maps) corresponding to the surface of the face may be acquired using different alternatives: A multi camera system (stereoscopy), range cameras or 3D laser and scanner ...
non-rigidly registered to face meshes through a combination of ICP, simulated annealing and elastically adapted deformable model fitting. ...
Basically, these approaches use the invariant functions, e.g., Gaussian curvature which is invariant under Euclidean transformations, to extract information from the face surface and, then, perform a classification ...
doi:10.5772/18696
fatcat:3uoguw3bo5gmlpor63xbid25vy
Latent Fingerprint Identification System Based on a Local Combination of Minutiae Feature Points
2021
SN Computer Science
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Latent fingerprints are the fingerprint traces obtained from various surfaces of objects found at the crime scene. ...
Developing an automatic fingerprint identification system (AFIS) for latent fingerprints becomes a major challenge because of a small number of minutia features. ...
RMT uses local minutiae triangular features that are invariant to minutiae deformations, rotations, and scale [18] . ...
doi:10.1007/s42979-021-00615-7
fatcat:cdhfpgxgtvbrzkq7nvnzduqwjm
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