Filters








37,014 Hits in 3.3 sec

Identification of deformation using invariant surface information

David M. Cash, Tuhin K. Sinha, Cheng-Chun Chen, Benoit M. Dawant, William C. Chapman, Michael I. Miga, Robert L. Galloway, Jr., Robert L. Galloway, Jr.
2004 Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display  
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

Liang Cai, Feipeng Da
2010 Procedings of the British Machine Vision Conference 2010  
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

Xun Jin, Jongweon Kim
2017 Applied Sciences  
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

Li Li, Chenghua Xu, Wei Tang, Cheng Zhong
2008 Pattern Recognition Letters  
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]

Elli Angelopoulou, James P. Williams, Lawrence B. Wolff
1996 Lecture Notes in Computer Science  
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  
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]

Stamatia Giannarou, Guang-Zhong Yang
2012 Lecture Notes in Computer Science  
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

K. Usha, M. Ezhilarasan
2016 Ain Shams Engineering Journal  
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

J. F. Norman, Y.-l. Lee, F. Phillips, H. F. Norman, L. R. Jennings, T. R. McBride
2010 Journal of Vision  
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

J. Farley Norman, Young-lim Lee, Flip Phillips, Hideko F. Norman, L. RaShae Jennings, T. Ryan McBride
2009 Acta Psychologica  
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

Chuin-Mu Wang
2015 Journal of Applied Research and Technology  
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

Y.Y. Cai, H.T. Loh, A.Y.C. Nee
1996 Image and Vision Computing  
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]

Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, Kwanghoon Sohn
2021 arXiv   pre-print
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]

Naser Zaeri
2011 New Approaches to Characterization and Recognition of Faces  
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

Uttam U. Deshpande, V. S. Malemath, Shivanand M. Patil, Sushma. V. Chaugule
2021 SN Computer Science  
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
« Previous Showing results 1 — 15 out of 37,014 results