face recognition under illumination variation

... each subject’s face images (b) Each set of samples with the same color represents face images under each viewpoint (c) Each set of samples with the same color represents face images under each lighting ... (d) The red C-shape curve connects face images under various lighting conditions for one person and one viewpoint The blue V-shape curve connects face images under various viewpoints for one person ... entire manifold on which face images lie Each red curve connects face images only due to varying viewpoint while each blue curve connects face images only due to varying illumination MPCA’s averaging...

Ngày tải lên: 21/06/2014, 16:20

... robust face image matching under different lighting conditions Although face- pose variation is another major problem in face recognition, we only focus on face image matching under different illumination ... under different lighting conditions for each subject is 39 in our experiments The recognition rate obtained by using our face matching algorithm Robust Face Image Matching under Illumination Variations ... interests include image processing, computer vision, pattern recognition, and face recognition Robust Face Image Matching under Illumination Variations Shang-Hong Lai received the B.S and M.S degrees...

Ngày tải lên: 23/06/2014, 01:20

... General Face Recognition Problem 1.1.2 3D vs 2D Face Recognition 1.1.3 Recognizing Faces Under Varying Expressions 1.1.4 Applications of 3D Face Recognition ... Recognizing Faces Under Varying Expressions The major challenges of a face recognition system have long been identified the variations of pose, illumination or expression [34, 8] In the case of 3D face recognition, ... better recognition results This thesis aims at designing one such algorithm 1.1 The 3D Face Recognition Problem 1.1.1 The General Face Recognition Problem Definition Formally stated, a face recognition...

Ngày tải lên: 15/09/2015, 22:42

... types of geometric and photometric transformations a planar surface typically undergoes when viewed under different viewpoints and illumination Section derives the moment invariants corresponding ... “Color illumination models for image matching and indexing”, Proceedings International Conference on Pattern Recognition, 2000, Vol 3, pp 580 – 583 [HS94] G Healey and D Slater, “Using illumination ... histogram descriptors for recognition , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, IEEE Press, 1994, pp 355 – 360 [Hu62] M Hu, “Visual pattern recognition by moment...

Ngày tải lên: 28/04/2014, 10:44

Ngày tải lên: 21/02/2014, 21:56

... their faces [6] because of the similarity of faces In this research, we focus on the face recognition problem, and show that the discrimination functions learned by SVMs can give much higher recognition ... the SVMs based algorithm with other recognition approaches 3.1 Face Recognition on the ORL Face Database The first experiment is performed on the Cambridge ORL face database, which contains 40 distinct ... for face recognition The experimental results show that the SVMs are a better learning algorithm than the nearest center approach for face recognition References [1] R Brunelli and T Poggio Face...

Ngày tải lên: 24/04/2014, 12:36

Ngày tải lên: 24/04/2014, 12:36

... for face recognition, such as expression recognition, or identity recognition, there are some difficulties with basic face recognition to overcome Firstly, these difficulties include the large variation ... human-machine interfaces, with the hope of creating person-independent expression recognition capability Other examples of face- recognition techniques are recognizing the identity of a face/ person or ... the appearance of a face in terms of a compact set of model parameters The created models are realistically looking faces, closely resembling the original face depicted in the face image Once derived,...

Ngày tải lên: 24/04/2014, 13:38

... [12] with permission) Face Recognition Processing Face recognition is a visual pattern recognition problem There, a face as a three-dimensional object subject to varying illumination, pose, expression ... stability of recognition performance under changes in viewpoint, illumination, and expression A taxonomy of major face recognition algorithms in Figure 1.8 provides an overview of face recognition ... components, face recognition works well for 10 Stan Z Li and Anil K Jain cooperative frontal faces without exaggerated expressions and under illumination without much shadow Face recognition...

Ngày tải lên: 28/04/2014, 09:54

... of the Art in Face Recognition, Dr Mario I Chacon M Preface Notwithstanding the tremendous effort to solve the face recognition problem, it is not possible yet to design a face recognition system ... for Face Recognition 109 Eriko Watanabe and Kashiko Kodate 3D Face Mesh Modeling for 3D Face Recognition 131 Ansari A-Nasser, Mahoor Mohammad and Abdel-Mottaleb Mohamed Occlusions in Face Recognition: ... in face recognition In 1996, Fisher linear discriminant analysis was applied to face recognition, and subsequently was developed into one of the most famous face recognition approaches, Fisherfaces...

Ngày tải lên: 28/04/2014, 09:59

... inaccurate Constant ratio faces: The faces must be natural faces, around the correct proportions of an average face Pose: There are face localization techniques to find a rotated face in an image, it ... the face sets L is the set containing all the face- like regions Fq ∈ S is a face set; it should contain similar face- like regions in the image Formally, a face- like image f i ∈ L belongs to a face ... ) Every face has an associated face set f i → Fi For each face- like region fi , if the distance between it to the representing face of a face set is lesser than a given value κ , this face belongs...

Ngày tải lên: 28/04/2014, 10:06

... year.) TWO ISSUES IN FACE RECOGNITION: ILLUMINATION AND POSE VARIATION In this section, we discuss two important issues that are related to face recognition The best face recognition techniques ... Face Recognition: A Literature Survey 441 Fig 18 In each row, the same face appears differently under different illuminations (from the Yale face database) 6.1 The Illumination Problem in Face ... cvc.yale.edu/projects/yalefaces/yalefaces.html Yale face database B cvc.yale.edu/projects/yalefacesB/yalefacesB.html Harvard face database hrl.harvard.edu/pub/faces Weizmann face database www.wisdom.weizmann.ac.il/∼yael/...

Ngày tải lên: 02/06/2014, 09:39

... problem of face detection is highly nonlinear and nonconvex, even more so for face matching Face recognition evaluation reports, for example Face Recognition Technology (FERET) [34], Face Recognition ... provides an introduction to face recognition research Main steps of face recognition processing are described Face detection and recognition problems are explained from a face subspace viewpoint ... captured under favorable (constrained) situations, face recognition is still a difficult endeavor, especially Introduction Fig 1.3 Face subspace or manifolds a Face versus nonface manifolds b Face...

Ngày tải lên: 05/06/2014, 11:49

... face recognition using well-known face databases is presented Chapter 11 addresses the problem of illumination in face recognition including mathematical illumination modeling, influence of illumination ... in Face Recognition 255 Janet H Hsiao 15 Surface representations for 3D face recognition 273 Thomas Fabry, Dirk Smeets and Dirk Vandermeulen 16 An Integrative Approach to Face and Expression Recognition ... of face recognition and a voluminous literature has been produced Current face recognition systems are able to perform very well in controlled environments e.g frontal face recognition, where face...

Ngày tải lên: 05/06/2014, 11:51

... originalorder method for larger values of N Face Recognition Using Spectral Eigenfaces We showed in Section that multiband eigenface methods can improve face recognition rates In these algorithms, ... depth and colour eigenfaces for face recognition, ” Pattern Recognition Letters, vol 24, no 9-10, pp 1427–1435, 2003 [24] Z Pan, G Healey, M Prasad, and B Tromberg, Face recognition in hyperspectral ... variation in the spectral domain With the spectral -face images, the same eigenface technique is applied for face recognition The first 10 spectral eigenfaces are shown on the right side of Figure It...

Ngày tải lên: 21/06/2014, 20:20

... are known Among various biometrics, face recognition has been one of the most passive, natural, and noninvasive types of biometrics Such characteristics of face recognition make it a good choice ... vectors and hence preserves the recognition accuracy 4.4 Experimental Results on Face Verification For face verification, we exclude image samples with large pose variation (>15◦ ) and select 4666 ... Bowyer, and W Worek, “Preliminary face recognition grand challenge results,” in Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (FGR ’06), pp 15–24, Southampton,...

Ngày tải lên: 21/06/2014, 20:20

... of Eigenfaces and the number of classes minus one in case of Fisherfaces) Figures and show the curves of the average recognition accuracy of Eigenfaces and Fisherfaces on ORL and AR face databases ... Eigenfaces [9], Fisherfaces [10], Nullspace LDA [16], EP [18], and EDA+Full-space LDA [32] (b) 4.1 The Face Databases and Parameter Settings The ORL database of faces [38] contains 400 face images ... c if Votes(c) = max Votes(i) i∈{1,2, ,L} (27) Face Recognition Experiments (a) Face recognition experiments have been performed on the ORL and AR face databases Due to the high dimensionality...

Ngày tải lên: 21/06/2014, 20:20

... of proposed PDFbased face recognition over PCA-based face recognition in each colour channel, the performance of PCA-based face recognition system on the aforementioned face databases in different ... adopted for face detection and cropping in the preprocessing stage Colour PDFs in HSI and YCbCr colour spaces of the isolated face images are used as the face des- criptors Face recognition is ... Table 6: Performance of the proposed face recognition system using FVF, Median Rule, PCA, LDA, LBP, NMF, and INMF based face recognition system for the FERET face databases # of training images...

Ngày tải lên: 21/06/2014, 20:20

... situations with variations in different factors such as pose, illumination, expression, and so forth Major approaches for face recognition in recent years are Eigenface [19], Fisherface [20], Bayesian ... 5.3 Experiments based on the FERET200 database A good face recognition system is expected to tolerate pose, expression, and illumination variations The proposed algorithm is tested on FERET200 ... 399–458, 2003 M Turk and A Pentland, Face recognition using eigenfaces,” in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR ’91), pp 586–591, Maui,...

Ngày tải lên: 21/06/2014, 22:20

... Gabor wavelets for face recognition, ” Pattern Analysis and Applications, vol 9, no 23, pp 273–292, 2006 [21] L Nanni and D Maio, “Weighted sub-Gabor for face recognition, ” Pattern Recognition Letters, ... PCA-based face recognition, ” Pattern Recognition Letters, vol 25, no 6, pp 711–724, 2004 [42] P J Philipps, H Moon, S Rivzi, and P Ross, “The FERET evaluation methodology fro face- recognition ... S Sirohey, “Human and machine recognition of faces: a survey,” Proceedings of the IEEE, vol 83, no 5, pp 705–741, 1995 [2] M Turk and A Pentland, “Eigenfaces for recognition, ” Journal of Cognitive...

Ngày tải lên: 22/06/2014, 01:20