Results 1 - 10 of 6,042

Rotated Haar-Like Features for Face Detection with In-Plane Rotation

by Shaoyi Du, Nanning Zheng, Qubo You, Yang Wu, Maojun Yuan, Jingjun Wu - 12th International Conference, VSMM 2006
"... Abstract. This paper extends the upright face detection framework proposed by Viola et al. 2001 to handle in-plane rotated faces. These haar-like features work inefficiently on rotated faces, so this paper pro-poses a new set of ±26.565 ◦ haar-like features which can be calculated quickly to represe ..."
Abstract - Cited by 6 (0 self) - Add to MetaCart
Abstract. This paper extends the upright face detection framework proposed by Viola et al. 2001 to handle in-plane rotated faces. These haar-like features work inefficiently on rotated faces, so this paper pro-poses a new set of ±26.565 ◦ haar-like features which can be calculated quickly

Stream Processing for Fast and Efficient Rotated Haar-like Features using Rotated Integral Images

by Christopher Messom, Andre Barczak
"... Abstract: An extended set of Haar-like features for image sensors beyond the standard vertically and horizontally aligned Haar-like features and the 45 o twisted Haar-like features are introduced. The extended rotated Haar-like features are based on the standard Haar-like features that have been rot ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract: An extended set of Haar-like features for image sensors beyond the standard vertically and horizontally aligned Haar-like features and the 45 o twisted Haar-like features are introduced. The extended rotated Haar-like features are based on the standard Haar-like features that have been

An extended set of Haar-like features for rapid objection detection

by Rainer Lienhart, Jochen Maydt - IEEE ICIP
"... Recently Viola et al. [5] have introduced a rapid object detection scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce a novel set of rotated haar-like features. These novel features significantly enrich the simple features of [5] and can also be calculated ef ..."
Abstract - Cited by 577 (4 self) - Add to MetaCart
Recently Viola et al. [5] have introduced a rapid object detection scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce a novel set of rotated haar-like features. These novel features significantly enrich the simple features of [5] and can also be calculated

Fast and efficient rotated haarlike features using rotated integral images

by Chris Messom, Andre Barczak - In Australasian Conference on Robotics and Automation
"... This paper introduces an extended set of Haarlike features beyond the standard vertically and horizontally aligned Haar-like features [Viola and Jones, 2001a; 2001b] and the 45 o twisted Haar-like features [Lienhart and Maydt, 2002; Lienhart et al., 2003a; 2003b]. The extended rotated Haar-like feat ..."
Abstract - Cited by 13 (3 self) - Add to MetaCart
This paper introduces an extended set of Haarlike features beyond the standard vertically and horizontally aligned Haar-like features [Viola and Jones, 2001a; 2001b] and the 45 o twisted Haar-like features [Lienhart and Maydt, 2002; Lienhart et al., 2003a; 2003b]. The extended rotated Haar-like

Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection

by Rainer Lienhart, Er Kuranov, Vadim Pisarevsky - In DAGM 25th Pattern Recognition Symposium , 2003
"... Abstract. Recently Viola et al. have introduced a rapid object detection scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce and empirically analysis two extensions to their approach: Firstly, a novel set of rotated haar-like features is introduced. These nove ..."
Abstract - Cited by 182 (2 self) - Add to MetaCart
Abstract. Recently Viola et al. have introduced a rapid object detection scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce and empirically analysis two extensions to their approach: Firstly, a novel set of rotated haar-like features is introduced

SURF: Speeded Up Robust Features

by Herbert Bay, Tinne Tuytelaars, Luc Van Gool - ECCV
"... Abstract. In this paper, we present a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Ro-bust Features). It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be comp ..."
Abstract - Cited by 897 (12 self) - Add to MetaCart
Abstract. In this paper, we present a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Ro-bust Features). It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can

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
that certain local binary patterns, termed "uniform," are fundamental properties of local image texture and their occurrence histogram is proven to be a very powerful texture feature. We derive a generalized gray-scale and rotation invariant operator presentation that allows for detecting the "

Distinctive Image Features from Scale-Invariant Keypoints

by David G. Lowe , 2003
"... This paper presents a method for extracting distinctive invariant features from images, which can be used to perform reliable matching between different images of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a a substa ..."
Abstract - Cited by 8955 (21 self) - Add to MetaCart
This paper presents a method for extracting distinctive invariant features from images, which can be used to perform reliable matching between different images of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a a

Object Recognition from Local Scale-Invariant Features

by David G. Lowe
"... An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons in ..."
Abstract - Cited by 2739 (13 self) - Add to MetaCart
An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons

Real-time Computation of Haar-like features at generic angles for detection algorithms

by A. L. C. Barczak, M. J. Johnson, C. H. Messom - RESEARCH LETTERS IN THE INFORMATION AND MATHEMATICAL SCIENCES , 2006
"... This paper proposes a new approach to detect rotated objects at distinct angles using the Viola-Jones detector. The use of additional Integral Images makes an approximation the Haar-like features for any given angle. The proposed approach uses di#erent types of Haar-like features, including featu ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
This paper proposes a new approach to detect rotated objects at distinct angles using the Viola-Jones detector. The use of additional Integral Images makes an approximation the Haar-like features for any given angle. The proposed approach uses di#erent types of Haar-like features, including
Results 1 - 10 of 6,042