Conferences related to Surface texture

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


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Periodicals related to Surface texture

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


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Most published Xplore authors for Surface texture

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Xplore Articles related to Surface texture

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Defining the Field of 2.5D Printing

2.5D Printing: Bridging the Gap Between 2D and 3D Applications, None

This chapter explores the relationship between images, pictures and reproductions. It also explores different ways to describe 2.5dimensional (2.5D), the relationship between texture, material and object, the emotional and perceptual relationship with materials, how artists convey the appearance of materials and how materials can be measured and quantified. Artists have been constantly fascinated by the pictorial representation of a three‐dimensional ...


A Visual Dirt Detection System for Mobile Service Robots

ROBOTIK 2012; 7th German Conference on Robotics, 2012

Basic service robot technologies become more and more mature so that applications far beyond fetch and carry tasks will be possible in near future. Using a multifunctional service robot as a cleaning assistant is one interesting and challenging application. To be of any use, cleaning robots have to be able to verify the results of their work or have to ...


Introduction

Electromagnetic Bandgap (EBG) Structures: Common Mode Filters for High Speed Digital Systems, None

This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. This book focuses on a specific use of electromagnetic bandgap (EBG) structures: their function as common‐mode (CM) filter in high‐speed differential digital systems and/or hybrid mixed‐signal circuits. It also discusses the electromagnetic properties and the layout technique regulating the EBG CM filter behavior. ...


A method of distance measurement by using monocular camera

Proceedings of the 36th SICE Annual Conference. International Session Papers, 1997

We propose a method to measure the distance to the surface with any figures. The method uses two images, one is taken at a camera point and the other is taken at the point where the camera is moved along the optical axis. The distance is calculated from the ratio between each size of an object projected on two images. ...


Distinctive texture features from perspective-invariant keypoints

Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2012

In this paper, we present an algorithm to detect and describe features of surface textures, similar to SIFT and SURF. In contrast to approaches solely based on the intensity image, it uses depth information to achieve invariance with respect to arbitrary changes of the camera pose. The algorithm works by constructing a scale space representation of the image which conserves ...


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Educational Resources on Surface texture

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IEEE-USA E-Books

  • Defining the Field of 2.5D Printing

    This chapter explores the relationship between images, pictures and reproductions. It also explores different ways to describe 2.5dimensional (2.5D), the relationship between texture, material and object, the emotional and perceptual relationship with materials, how artists convey the appearance of materials and how materials can be measured and quantified. Artists have been constantly fascinated by the pictorial representation of a three‐dimensional world through the two‐dimensional media of painting and drawing, and by employing drawing elements such as perspective, illusion, colour, texture, light and shade to create more convincing and immersive environments. In order to address issues relating to reproduction of digital prints, one approach has been to tag artworks, whereby each print is allocated its own security code and DNA, which can then be linked to a certificate of authentication. Printing technologies are now moving away from the reproduction of entire objects to concentrate on macrotextural elements.

  • A Visual Dirt Detection System for Mobile Service Robots

    Basic service robot technologies become more and more mature so that applications far beyond fetch and carry tasks will be possible in near future. Using a multifunctional service robot as a cleaning assistant is one interesting and challenging application. To be of any use, cleaning robots have to be able to verify the results of their work or have to find dirt in the beginning for point-wise cleaning. This paper presents an approach towards the detection of various dirt on textured surfaces using a low-cost RGB-D sensor. The algorithm aims at removing the regular part of the image with spectral residual filtering leaving only the dirt and some noise. With further post-processing it is possible to localize many kinds of dirt in the image. The proposed method is fast, reliable, quite robust to illumination changes and does not require any prior training of the surfaces to inspect.

  • Introduction

    This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. This book focuses on a specific use of electromagnetic bandgap (EBG) structures: their function as common‐mode (CM) filter in high‐speed differential digital systems and/or hybrid mixed‐signal circuits. It also discusses the electromagnetic properties and the layout technique regulating the EBG CM filter behavior. These EBG filters can be placed near I/O connectors on printed circuit boards (PCBs) to reduce the amount of CM current that is coupled onto the cables or near integrated circuits (ICs) to suppress the CM noise near its source. The most simple EBG‐based CM filter is laid out on the PCB outermost stack‐up layer and is sometime referenced as an onboard EBG CM filter. The book further aims at providing the basic principles of operation of the planar EBG structures as CM filters for high data rate digital systems.

  • A method of distance measurement by using monocular camera

    We propose a method to measure the distance to the surface with any figures. The method uses two images, one is taken at a camera point and the other is taken at the point where the camera is moved along the optical axis. The distance is calculated from the ratio between each size of an object projected on two images. From the fact that the pair of images has concentric circle features, the ratio is obtained by using complex-log mapping. This method can calculate the distance to the surface with texture features or not.

  • Distinctive texture features from perspective-invariant keypoints

    In this paper, we present an algorithm to detect and describe features of surface textures, similar to SIFT and SURF. In contrast to approaches solely based on the intensity image, it uses depth information to achieve invariance with respect to arbitrary changes of the camera pose. The algorithm works by constructing a scale space representation of the image which conserves the real-world size and shape of texture features. In this representation, keypoints are detected using a Difference-of-Gaussian response. Normal-aligned texture descriptors are then computed from the intensity gradient, normalizing the rotation around the normal using a gradient histogram. We evaluate our approach on a dataset of planar textured scenes and show that it outperforms SIFT and SURF under large viewpoint changes.

  • Phosphorus-Implanted Emitter Crystalline Silicon Solar Cell with AL-BSF

    As-implanted local phosphorus profiles in a single texture are discussed, taking into account of the incident angle of ion beam into the pyramidal textured (111) surface. The impact of tilt and twist angle on the electrical characteristics of phosphorus-implanted homogeneous emitter silicon solar cells with aluminum back surface field, 156 × 156 mm2in size, are investigated. Conversion efficiency increases with increase of tilt angle within a range of 7° to 35°, or decrease of rotation angle within a range of 15° to 90°. Thus, tilt and twist are the key factors of as-implantation depth profile, resulting in the improvement of conversion efficiency. Based on scanning capacitance microscopy observation, two-dimensional carrier distribution in phosphorus-implanted emitter is discussed.

  • Rectification of Illumination on 3D Shape Recovery

    In the area of machine vision, shadows occur frequently in a wide variety of scenes. An inherent weakness of focus-based methods is that, they require the imaged scene to have significant texture. In many real-world applications, surfaces can be smoothly shaded, lacking detectable texture. In such cases, Shape-Form-Focus (SFF) generates inaccurate and sparse depth maps. For accurate calculation of depth map, we consider the affects of illumination. In SFF, the images are taken with one light source and the shadows occur in each frame. Thus, the more bright regions of the images give more accurate depth map, whereas, the less bright regions give less accurate depth map. We have shown the results and compared them with the previous results. From simulation results, we see that the results are improved with the proposed algorithm.

  • Object detection on the sea surface, based on texture analysis

    This paper deals with the problem of OOI detection on the sea surface, based on the definition of proper texture parameters. As the sea texture exhibits a variable nature, the classical algorithms, tailored to work in presence of a specific textured background, can not be applied. However they can be seen as possible components of a hierarchical algorithm, taking into account the variability of the sea texture. In this paper an algorithm (called OBI- FINDER), with these characteristics, is described, and some results are shown.

  • Tactile perception of two lengths by precision griping with three forefingers

    When an object is touched, the properties like shape, temperature, rigidity, texture and weight should be perceived. As a basic research of human tactile, it is most important to know how humans could perceive the shape of the object with forefingers. Thus length and contacting curvature of an object are thought to provide important perception information. Most of the length perception studies are about two fingers using the thumb and the index finger. There are scarce perception studies using multi-fingers grasping. In present study, we develop a tactile length presentation device for two lengths with three forefingers, and investigate the human tactile length perception for two lengths with three forefingers grasping. The results showed that better perception took place when shorter lengths were presented to the thumb and the index finger compared to being presented to the thumb and the middle finger. As a result of force sensor, grip forces show no significant difference in the range of stimulating length.

  • Image invariance, scaling features and image similarity

    Under image scaling transformation, the energy of a set of simple filtering templates display interesting scaling laws. These scalings are very universal in various kinds of images, robust against noise and local deformation and thus manifest themselves as the most salient property of images. The scaling exponents change from image to image and characterize image texture, edge and surface properties. An image similarity measure is built only in terms of these scaling laws. This similarity has many graceful properties such as invariance under rotation, scaling and translation transformation, and robustness against noise and image local deformation. The performance of this similarity is very promising, achieving very high average recognition rate. Thus scaling properties of images have great weight in perceptual evaluation of image similarity.



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