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Comparison of Body Shape Descriptors for Biometric Recognition using MMW Images

by Ester Gonzalez-sosa, Ruben Vera-rodriguez, Julian Fierrez, Javier Ortega-garcia
"... Abstract—The use of Millimetre wave images has been proposed recently in the biometric field to overcome certain limitations when using images acquired at visible frequencies. In this paper, several body shape-based techniques were applied to model the silhouette of images of people acquired at 94 G ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract—The use of Millimetre wave images has been proposed recently in the biometric field to overcome certain limitations when using images acquired at visible frequencies. In this paper, several body shape-based techniques were applied to model the silhouette of images of people acquired at 94

Real-time human pose recognition in parts from single depth images

by Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake - IN CVPR , 2011
"... We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler p ..."
Abstract - Cited by 568 (17 self) - Add to MetaCart
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler

An affine invariant interest point detector

by Krystian Mikolajczyk, Cordelia Schmid - In Proceedings of the 7th European Conference on Computer Vision , 2002
"... Abstract. This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such transformations introduce significant changes in the point location as well as in the scale and the shape of ..."
Abstract - Cited by 1467 (55 self) - Add to MetaCart
to affine invariant points. For matching and recognition, the image is characterized by a set of affine invariant points; the affine transformation associated with each point allows the computation of an affine invariant descriptor which is also invariant to affine illumination changes. A quantitative

Body shape-based biometric recognition using millimeter wave images

by E. Gonzalez-sosa, R. Vera-rodriguez, J. Fierrez, J. Ortega-garcia - in Proc. IEEE Intl. Carnahan Conf. on Security Technology, ICCST, 2013
"... Abstract—The use of MMW images has been proposed re-cently in the biometric field aiming to overcome certain lim-itations when using images acquired at visible frequencies. In this paper, several body shape-based techniques are applied to model the silhouette of images of people acquired at 94 GHz. ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
Abstract—The use of MMW images has been proposed re-cently in the biometric field aiming to overcome certain lim-itations when using images acquired at visible frequencies. In this paper, several body shape-based techniques are applied to model the silhouette of images of people acquired at 94 GHz

An Experimental Comparison of Autoregressive and Fourier-based Descriptors in 2-D Shape Classification

by Hannu Kauppinen, Tapio Seppänen, Matti Pietikäinen , 1995
"... An experimental comparison of shape classification methods based on autoregressive modeling and Fourier descriptors of closed contours is carried out. The performance is evaluated using two independent sets of data: images of letters and airplanes. Silhouette contours are extracted from non-occluded ..."
Abstract - Cited by 107 (0 self) - Add to MetaCart
An experimental comparison of shape classification methods based on autoregressive modeling and Fourier descriptors of closed contours is carried out. The performance is evaluated using two independent sets of data: images of letters and airplanes. Silhouette contours are extracted from non

Distance sets for shape filters and shape recognition

by Cosmin Grigorescu, Nicolai Petkov - IEEE TRANS. IMAGE PROCESSING , 2003
"... We introduce a novel rich local descriptor of an image point, we call the (labeled) distance set, which is determined by the spatial arrangement of image features around that point. We describe a two-dimensional (2-D) visual object by the set of (labeled) distance sets associated with the feature p ..."
Abstract - Cited by 62 (9 self) - Add to MetaCart
, and shape matching. The use of the shape filter is illustrated on printed and handwritten character recognition and detection of traffic signs in complex scenes. The shape comparison procedure is illustrated on handwritten character classification, COIL-20 database object recognition and MPEG-7 silhouette

3D Face Recognition by Matching Shape Descriptors Abstract

by A. S. Mian, D. Mathers, M. Bennamoun, R. A. Owens, G. Hingston
"... Face is an important biometric for the identification and authentication of individuals. 2D face recognition techniques have been investigated for a long time. However, 3D face recognition is a relatively niche area of research. We propose a novel algorithm for 3D face recognition. A gallery of 3D f ..."
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faces is generated and saved along with their tensor representation (shape descriptors) during an offline phase. During online recognition, a tensor is generated for the range image of a probe face and matched with the tensors of gallery faces using a weighted linear correlation coefficient

Personal recognition using hand shape and texture

by Ajay Kumar, David Zhang, Senior Member - IEEE Trans. Image Process , 2006
"... Abstract—This paper proposes a new bimodal biometric system using feature-level fusion of hand shape and palm texture. The proposed combination is of significance since both the palmprint and hand-shape images are proposed to be extracted from the single hand image acquired from a digital camera. Se ..."
Abstract - Cited by 37 (3 self) - Add to MetaCart
Abstract—This paper proposes a new bimodal biometric system using feature-level fusion of hand shape and palm texture. The proposed combination is of significance since both the palmprint and hand-shape images are proposed to be extracted from the single hand image acquired from a digital camera

Shape-based Recognition of Targets in Synthetic Aperture Radar Images using Elliptical Fourier Descriptors

by Louis P. Nicoli, Georgios C. Anagnostopoulos
"... This paper primarily investigates the use of shape-based features by an Automatic Target Recognition (ATR) system to classify various types of targets in Synthetic Aperture Radar (SAR) images. In specific, shapes of target outlines are represented via Elliptical Fourier Descriptors (EFDs), which, in ..."
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This paper primarily investigates the use of shape-based features by an Automatic Target Recognition (ATR) system to classify various types of targets in Synthetic Aperture Radar (SAR) images. In specific, shapes of target outlines are represented via Elliptical Fourier Descriptors (EFDs), which

Poel M., Comparison of Silhouette Shape Descriptors for Example-based Human Pose Recovery

by Mannes Poel - IEEE FGR , 2006
"... Automatically recovering human poses from visual input is useful but challenging due to variations in image space and the high dimensionality of the pose space. In this paper, we assume that a human silhouette can be extracted from monocular visual input. We compare three shape descriptors that are ..."
Abstract - Cited by 23 (0 self) - Add to MetaCart
Automatically recovering human poses from visual input is useful but challenging due to variations in image space and the high dimensionality of the pose space. In this paper, we assume that a human silhouette can be extracted from monocular visual input. We compare three shape descriptors
Results 1 - 10 of 90