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QtImageLib: A cross-platform image processing library

QtImageLib: A cross-platform image processing library

引用

25th International Conference on computers and Their Applications 2010, CATA 2010

作者： Jacobs, Lucas Weiss, John M. Robotics and Intelligent Autonomous Systems South Dakota School of Mines and Technology 501 E. St. Joseph Street Rapid City SD 57701 United States Mathematics and Computer Science Department South Dakota School of Mines and Technology 501 E. St. Joseph Street Rapid City SD 57701 United States

ISBN: (纸本)9781617381102

We have developed a software library called QtImageLib that enables programmers to rapidly and easily create cross platform, high performance image processing applications. A simple image viewer, complete with dropdown menus, toolbar, scrollbars, cut-and-paste, pan and zoom, can be implemented in a few lines of C++ code. Image processing functionality, using built-in library routines or user software, can be added with a few more lines of code.

关键词： Image processing

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Bézier curve based dynamic obstacle avoidance and trajectory learning for autonomous mobile robots

Bézier curve based dynamic obstacle avoidance and trajector...

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International Conference on intelligent Systems Design and Applications (ISDA)

作者： Tayyab Chaudhry Tauseef Gulrez Ali Zia Shyba Zaheer Intelligent Machines & Robotics Research Group Department of Computer Science Comsats Institute of Information Technology Lahore Pakistan Department of Electrical Engineering College of Engineering and Applied Sciences Al Ghurair University Dubai UAE

This paper addresses the problem of avoiding dynamic obstacles while following the learned trajectory through non-point based maps directly through laser data. The geometric representation of free configuration area changes while a moving obstacle enters into the safety region of autonomous mobile robot. We have applied the Bézier curve properties to the free configuration eigenspaces to satisfy the dynamic obstacle avoidance path constraints. The algorithm is designed to accurately represent the mobile robot's characteristics while avoiding obstacle such as minimum turning radius. Moreover, we also discuss the obstacle avoided path feasibility as a vectorial combination of free configuration eigen-vectors at discrete time scan-frames to manifest a trajectory, which once followed and mapped onto the two control signals of mobile robot will enable it to build an efficient and accurate online environment map. Preliminary results in Matlab have been shown to validate the idea, while the same has been implemented in Player/stage (robotics real-time software) to analyze the performance of the proposed system.

关键词： Trajectory Vehicles Robot sensing systems Mobile robots Mathematical model Lasers

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GABOR-BASED TEXTURE CLASSIFICATION THROUGH EFFICIENT PROTOTYPE SELECTION VIA NORMALIZED CUT

GABOR-BASED TEXTURE CLASSIFICATION THROUGH EFFICIENT PROTOTY...

引用

16th IEEE International Conference on Image Processing

作者： Melendez, Jaime Puig, Domenec Angel Garcia, Miguel Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira I Virgili University Spain Department of Informatics Engineering Autonomous University of Madrid Spain

ISBN: (纸本)9781424456536

This paper presents a new efficient technique for supervised pixel-based texture classification. The proposed scheme first performs a selection process that automatically determines a subset of prototypes that characterize each texture class based on the outcome of a multichannel Gabor wavelet filter bank. Then, every image pixel is classified into one of the given texture classes by using a K-NN classifier fed with the prototypes determined previously. The proposed technique is compared to previous texture classifiers by using both Brodatz and real outdoor textured images.

关键词： Pixel-based texture classification multichannel Gabor wavelet filters prototype selection

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On adapting the tensor voting framework to robust color image denoising

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13th International Conference on computer Analysis of Images and Patterns, CAIP 2009

作者： Moreno, Rodrigo Garcia, Miguel Angel Puig, Domenec Julià, Carme Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Av. Països Catalans 26 Tarragona 43007 Spain Department of Informatics Engineering Autonomous University of Madrid Cra. Colmenar Viejo Km 15 Madrid 28049 Spain

ISBN: (纸本)3642037666

This paper presents an adaptation of the tensor voting framework for color image denoising, while preserving edges. Tensors are used in order to encode the CIELAB color channels, the uniformity and the edginess of image pixels. A specific voting process is proposed in order to propagate color from a pixel to its neighbors by considering the distance between pixels, the perceptual color difference (by using an optimized version of CIEDE2000), a uniformity measurement and the likelihood of the pixels being impulse noise. The original colors are corrected with those encoded by the tensors obtained after the voting process. Peak to noise ratios and visual inspection show that the proposed methodology has a better performance than state-of-the-art techniques. © 2009 Springer Berlin Heidelberg.

关键词： Pixels

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Gabor-based texture classification through efficient prototype selection via normalized cut

Gabor-based texture classification through efficient prototy...

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IEEE International Conference on Image Processing

作者： Jaime Melendez Domenec Puig Miguel Angel Garcia Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Spain Department of Informatics Engineering Autonomous University of Madrid Spain

关键词： Prototypes Gabor filters Pixel Feature extraction Filter bank Testing intelligent robots Image texture analysis Pattern recognition Image recognition

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A new methodology for evaluation of edge detectors

A new methodology for evaluation of edge detectors

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IEEE International Conference on Image Processing

作者： Rodrigo Moreno Domenec Puig Carme Julià Miguel Angel Garcia Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain

This paper defines a new methodology for evaluating edge detectors through measurements on edginess maps instead of on binary edge maps as previous methodologies do. These measurements avoid possible bias introduced by the application-dependent process of generating binary edge maps from edginess maps. The features of completeness, discriminability, precision and robustness, which a general-purpose edge detector must comply with, are introduced. The R, DS, P and FAR-measurements in addition to PSNR applied to the edginess maps are defined to assess the performance of edge detection. The R, DS, P and FAR-measurements can be seen as generalizations of previously proposed measurements on binary edge maps. Well-known and state-of-the-art edge detectors have been compared by means of the new proposed metrics. Results show that it is difficult for an edge detector to comply with all the proposed features.

关键词： Image edge detection Detectors intelligent robots Robustness Robot vision systems computer vision computer science mathematics Informatics Tin

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Robust color edge detection through tensor voting

Robust color edge detection through tensor voting

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IEEE International Conference on Image Processing

作者： Rodrigo Moreno Miguel Angel Garcia Domenec Puig Carme Julià Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain

This paper presents a new method for color edge detection based on the tensor voting framework, a robust perceptual grouping technique used to extract salient information from noisy data. The tensor voting framework is adapted to encode color information via tensors in order to propagate them into a neighborhood through a voting process specifically designed for color edge detection by taking into account perceptual color differences, region uniformity and edginess according to a set of intuitive perceptual criteria. Perceptual color differences are estimated by means of an optimized version of the CIEDE2000 formula, while uniformity and edginess are estimated by means of saliency maps obtained from the tensor voting process. Experiments show that the proposed algorithm is more robust and has a similar performance in precision when compared with the state-of-the-art.

关键词： Robustness Image edge detection Tensile stress Voting Colored noise Color Detectors Eigenvalues and eigenfunctions intelligent robots computer vision

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***: Transforming Colour into Melody and Implementing the Result in a Colour Sensor Device

***: Transforming Colour into Melody and Implementing the Re...

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International Conference on Visualisation, VIS

作者： Jessica Rossi Francisco Jose Perales Javier Varona Miquel Roca Computer Graphics Vision and Artificial Intelligence Group Mathematics and Computers Science Department University of Balearic Islands Spain

This paper represents a system which explores the reality of colour in relation to sound and dedicated firstly to blind people, the challenges they live with, their psychology and their emotions. Itpsilas an exploration of the infinite range of colours that they have either never been able to see or that they have lost the possibility to see. The system developed is based on the concept of synesthesia: a dasialiaisonpsila between colour and sound, colour that becomes sound. This paper synthesizes a wider range of study regarding people with diverse psychological and movement conditions. It represents a new method of expression and of self development through music therapy and game, dedicated mainly to children aged between 5 and 13. Finally we conclude with a portable prototype device that has been validated and patented. It is capable of detecting colour and transforming it into sound: a colour sensor identifies colours and transforms this data into musical notes. The prototype is totally adaptable to the requirements of the end user meaning that the user can choose the best combination between colour and sound in order to improve their communication with the environment. We are now developing a mathematical theoretical background in order to formalize the correspondence between colour and musical space.

关键词： Psychology Acoustic sensors Prototypes Cultural differences Auditory system vision defects Visualization intelligent sensors Sensor systems computer graphics

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Monocular pedestrian detection: Survey and experiments

Monocular pedestrian detection: Survey and experiments

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作者： Enzweiler, Markus Gavrila, Dariu M. Department of Mathematics and Computer Science Image and Pattern Analysis Group University of Heidelberg Speyerer St. 4 69115 Heidelberg Germany Environment Perception Department Assistance Systems and Chassis Daimler AG Group Research Wilhelm Runge St. 11 89081 Ulm Germany Intelligent Systems Lab Faculty of Science University of Amsterdam Kruislaan 403 1098 SJ Amsterdam Netherlands

Pedestrian detection is a rapidly evolving area in computer vision with key applications in intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to provide an overview of the current state of the art from both methodological and experimental perspectives. The first part of the paper consists of a survey. We cover the main components of a pedestrian detection system and the underlying models. The second (and larger) part of the paper contains a corresponding experimental study. We consider a diverse set of state-of-the-art systems: wavelet-based AdaBoost cascade [74], HOG/ linSVM [11], NN/LRF [75], and combined shape-texture detection [23]. Experiments are performed on an extensive data set captured onboard a vehicle driving through urban environment. The data set includes many thousands of training samples as well as a 27-minute test sequence involving more than 20,000 images with annotated pedestrian locations. We consider a generic evaluation setting and one specific to pedestrian detection onboard a vehicle. Results indicate a clear advantage of HOG/ linSVM at higher image resolutions and lower processing speeds, and a superiority of the wavelet-based AdaBoost cascade approach at lower image resolutions and (near) real-time processing speeds. The data set (8.5 GB) is made public for benchmarking purposes. © 2009 IEEE.

关键词： Benchmarking

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Mining discriminative adjectives and prepositions for natural scene recognition

Mining discriminative adjectives and prepositions for natura...

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IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Bangpeng Yao Juan Carlos Niebles Li Fei-Fei Department of Computer Science Princeton University NJ USA Robotics and Intelligent Systems Group Universidad del Norte Colombia Department of Electrical Engineering Princeton University NJ USA

This paper presents a method that considers not only patch appearances, but also patch relationships in the form of adjectives and prepositions for natural scene recognition. Most of the existing scene categorization approaches only use patch appearances or co-occurrence of patch appearances to determine the scene categories, but the relationships among patches remain ignored. Those relationships are, however, critical for recognition and understanding. For example, a `beach' scene can be characterized by a `sky' region above `sand', and a `water' region between `sky' and `sand'. We believe that exploiting such relations between image regions can improve scene recognition. In our approach, each image is represented as a spatial pyramid, from which we obtain a collection of patch appearances with spatial layout information. We apply a feature mining approach to get discriminative patch combinations. The mined patch combinations can be interpreted as adjectives or prepositions, which are used for scene understanding and recognition. Experimental results on a fifteen class scene dataset show that our approach achieves competitive state-of-the-art recognition accuracy, while providing a rich description of the scene classes in terms of the mined adjectives and prepositions.

关键词： Layout Road transportation Image representation intelligent robots Image recognition Data mining computer science intelligent systems Histograms

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