Results 1 - 10 of 4,246

Multiresolution grayscale and rotation invariant texture classification with local binary patterns

by Timo Ojala, Matti Pietikäinen, Topi Mäenpää - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2002
"... This paper presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prototype distributions. The method is based on recognizing that certain ..."
Abstract - Cited by 1299 (39 self) - Add to MetaCart
This paper presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prototype distributions. The method is based on recognizing

Rotationally invariant wavelet shrinkage

by Joachim Weickert - Pattern Recognition
"... Abstract. Most two-dimensional methods for wavelet shrinkage are ef-ficient for edge-preserving image denoising, but they suffer from poor ro-tation invariance. We address this problem by designing novel shrinkage rules that are derived from rotationally invariant nonlinear diffusion fil-ters. The r ..."
Abstract - Cited by 18 (11 self) - Add to MetaCart
Abstract. Most two-dimensional methods for wavelet shrinkage are ef-ficient for edge-preserving image denoising, but they suffer from poor ro-tation invariance. We address this problem by designing novel shrinkage rules that are derived from rotationally invariant nonlinear diffusion fil

Rotation Invariant Template Matching

by Kimmo Fredriksson , 2001
"... In rotation invariant template matching one wants to find nding from the given input image the locations that are similar to the given pattern template, so that the pattern may have any orientation. Template matching is an old but important problem in computer vision and pattern recognition, and th ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
In rotation invariant template matching one wants to find nding from the given input image the locations that are similar to the given pattern template, so that the pattern may have any orientation. Template matching is an old but important problem in computer vision and pattern recognition

Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors

by Michael Kazhdan, Thomas Funkhouser, Szymon Rusinkiewicz , 2003
"... One of the challenges in 3D shape matching arises from the fact that in many applications, models should be considered to be the same if they differ by a rotation. Consequently, when comparing two models, a similarity metric implicitly provides the measure of similarity at the optimal alignment. E ..."
Abstract - Cited by 285 (11 self) - Add to MetaCart
. Explicitly solving for the optimal alignment is usually impractical. So, two general methods have been proposed for addressing this issue: (1) Every model is represented using rotation invariant descriptors. (2) Every model is described by a rotation dependent descriptor that is aligned into a canonical

Rotation-invariant Gabor filter

by unknown authors
"... goal is to develop Gabor features that are invariant to the direction of HoM, the brightness and the contrast changes from the different user settings. We propose a texture analysis method that applies a rotation-invariant Gabor filter bank on the TCS images and computes the robust feature for the c ..."
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goal is to develop Gabor features that are invariant to the direction of HoM, the brightness and the contrast changes from the different user settings. We propose a texture analysis method that applies a rotation-invariant Gabor filter bank on the TCS images and computes the robust feature

On Rotational Invariance for Texture Recognition

by X. Shi , 2005
"... In this paper we analyze the effect of rotational invariant operators for texture recognition using cross-validation experiments with different sample sizes. This work presents three main contributions. First, invariant operators for steerable filter banks are derived analytically using the Lie grou ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
In this paper we analyze the effect of rotational invariant operators for texture recognition using cross-validation experiments with different sample sizes. This work presents three main contributions. First, invariant operators for steerable filter banks are derived analytically using the Lie

Rotation-invariant Texture Recognition

by Javier A. Montoya-zegarra, João P. Papa, Neucimar J. Leite, Ricardo D. S, Re X. Falcão
"... Abstract. This paper proposes a new texture classification system, which is distinguished by: (1) a new rotation-invariant image descriptor based on Steerable Pyramid Decomposition, and (2) by a novel multi-class recognition method based on Optimum Path Forest. By combining the discriminating power ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract. This paper proposes a new texture classification system, which is distinguished by: (1) a new rotation-invariant image descriptor based on Steerable Pyramid Decomposition, and (2) by a novel multi-class recognition method based on Optimum Path Forest. By combining the discriminating power

On Rotationally Invariant Codes

by Marie-Pierre Beal
"... We give an extension of the work of Trott et al. on rotationally invariant codes and the work of Adler et al. and Marcus on constrained codes, to constrained codes invariant by a permutative map. A constructive proof is given of the existence a finite-state invertible phi-invariant code from arbitra ..."
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We give an extension of the work of Trott et al. on rotationally invariant codes and the work of Adler et al. and Marcus on constrained codes, to constrained codes invariant by a permutative map. A constructive proof is given of the existence a finite-state invertible phi-invariant code from

Rotation-Invariant Neoperceptron

by Beat Fasel
"... Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical deformations of objects. In this paper we present a local feature based, rotation-invariant Neoperceptron. By extending the we ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical deformations of objects. In this paper we present a local feature based, rotation-invariant Neoperceptron. By extending

Rotation Invariant Features for HARDI

by Evan Schwab, H. Ertan Çetingül, Bijan Afsari, Michael A. Yassa, René Vidal
"... Abstract. Reducing the amount of information stored in diffusion MRI (dMRI) data to a set of meaningful and representative scalar values is a goal of much interest in medical imaging. Such features can have far reaching applications in segmentation, registration, and statistical characterization of ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
shortcomings. This paper proposes a new family of rotation invariant scalar features for dMRI based on the spherical harmonic (SH) representation of high angular resolution diffusion images (HARDI). These features describe the shape of the orientation distribution function extracted from HARDI data
Results 1 - 10 of 4,246