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Conference on intelligent robots and computer vision XVII - algorithms, techniques, and Active vision

作者： Viitanen, J VTT Automat FIN-33101 Tampere Finland

ISBN: (纸本)081942983X

This paper describes a practical approach for environment perception using fusion of active ranging with a low-power laser and passive, stereo based ranging. A low-cost, coarse pitch linear detector is used, but still sufficient distance accuracy for mobile robotics is achieved by using a new method of sub-pixel calibration. The device is intended for mobile robot or vehicle perception duties in obstacle detection and target position measurement.

关键词： computer vision stereo mobile robots

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CONVEX SHAPE REFINEMENT USING DYNAMIC-PROGRAMMING FOR SURFACE DEFECT CLASSIFICATION ON WOODEN MATERIALS 12

CONVEX SHAPE REFINEMENT USING DYNAMIC-PROGRAMMING FOR SURFAC...

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12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： POLZLEITNER, W JOANNEUM RES A-8010 GRAZAUSTRIA

This paper deals with a two-step segmentation algorithm for 2-D convex objects. First the objects are approximated by an elliptic shape description, and then the boundary of the object is refined using dynamic program... 详细信息

ISBN: (纸本)0819413208

关键词： computer programming Evolutionary algorithms computer vision technology Machine vision Robot vision robots Fuzzy logic Information operations Inspection Pattern recognition

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OBJECT SEGMENTATION techniques FOR USE IN LABORATORY VISUAL AUTOMATION SYSTEMS

OBJECT SEGMENTATION TECHNIQUES FOR USE IN LABORATORY VISUAL ...

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11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： EGGLESTON, P Amerinex Artificial Intelligence Inc. (United States)

ISBN: (纸本)0819410268

In designing automated systems for interpretation or manipulation of laboratory image data such as that derived from microphotographs, it is often the goal to perform operations that extract information about the structure of objects, and to separate and discern various objects within the data. Measurements of the events, called features, can then be calculated and used for process or statistical analysis. Given a transformation of the pixel based image data into an explicit symbolic representation of the objects (i.e., the creation of objects of interest or Tokens), desired information can be extracted and characterized from the visual data. Simple segmentation schemes often lack the sophistication to deal with intricate or very subtle details of this image data. This paper discusses advanced techniques useful in obtaining information relevant to the recognition and extraction of objects of interest in laboratory vision automation applications.

关键词： Image segmentation computer vision technology Image processing Machine vision Edge detection Robot vision robots Visualization Image processing algorithms and systems Photomicroscopy

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Planning of collision free paths for holonic Blastman robots

Planning of collision free paths for holonic Blastman robots

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Conference on intelligent robots and computer vision XVII - algorithms, techniques, and Active vision

作者： Rintala, M Heikkila, T Blastman Robot Ltd FIN-90101 Oulu Finland

ISBN: (纸本)081942983X

Collision freeness is an essential feature in off-line programming of robots. It relates to safe and efficient operation, and becomes even more critical, when two or more robots are sharing the same work space, which is typical for so called holonic robot systems. Here we are reporting a simple and fast path planning algorithm based on configuration space method, suitable for holonic robot applications. The basic version of the algorithm can be found from the literature, and we have extended and modified it to improve its feasibility. Simulation and experimental tests have been carried out succesfully.

关键词： robots Space robots Telescopes Robotic systems Space telescopes Algorithm development Manufacturing computer programming Free space Robotics

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A Survey of computer vision Detection, Visual SLAM algorithms, and Their Applications in Energy-Efficient Autonomous Systems

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ENERGIES 2024年第20期17卷 5177页

作者： Chen, Lu Li, Gun Xie, Weisi Tan, Jie Li, Yang Pu, Junfeng Chen, Lizhu Gan, Decheng Shi, Weimin Univ Elect Sci & Technol China Sch Aeronaut & Astronaut Chengdu 611731 Peoples R China Yangtze Normal Univ Sch Elect Informat Engn Chongqing 408100 Peoples R China Chongqing Univ Sch Microelect & Commun Engn Chongqing 400044 Peoples R China

Within the area of environmental perception, automatic navigation, object detection, and computer vision are crucial and demanding fields with many applications in modern industries, such as multi-target long-term visual tracking in automated production, defect detection, and driverless robotic vehicles. The performance of computer vision has greatly improved recently thanks to developments in deep learning algorithms and hardware computing capabilities, which have spawned the creation of a large number of related applications. At the same time, with the rapid increase in autonomous systems in the market, energy consumption has become an increasingly critical issue in computer vision and SLAM (Simultaneous Localization and Mapping) algorithms. This paper presents the results of a detailed review of over 100 papers published over the course of two decades (1999-2024), with a primary focus on the technical advancement in computer vision. To elucidate the foundational principles, an examination of typical visual algorithms based on traditional correlation filtering was initially conducted. Subsequently, a comprehensive overview of the state-of-the-art advancements in deep learning-based computer vision techniques was compiled. Furthermore, a comparative analysis of conventional and novel algorithms was undertaken to discuss the future trends and directions of computer vision. Lastly, the feasibility of employing visual SLAM algorithms in the context of autonomous vehicles was explored. Additionally, in the context of intelligent robots for low-carbon, unmanned factories, we discussed model optimization techniques such as pruning and quantization, highlighting their importance in enhancing energy efficiency. We conducted a comprehensive comparison of the performance and energy consumption of various computer vision algorithms, with a detailed exploration of how to balance these factors and a discussion of potential future development trends.

关键词： computer vision object detection visual tracking energy efficiency visual SLAM deep learning driverless robotic vehicles

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NEW ENTROPY OPERATOR FOR EDGE ABSTRACTION 12

NEW ENTROPY OPERATOR FOR EDGE ABSTRACTION

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12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： XIE, XH TIAN, XQ LUO, LM SOUTHEAST UNIV DEPT BIOMED ENGNNANJING 210018PEOPLES R CHINA

ISBN: (纸本)0819413208

This paper presents a new exponential behavior based entropy operator for extracting image edges. Edges can be detected by computing the entropy of brightness or hue in a local region of a picture. The entropy depends not only on the rate of change of brightness or hue, but also on the average brightness or hue. The experimental result verifies the efficiency of the new entropy operator.

关键词： Edge detection computer vision technology Image processing Machine vision Computing systems Image filtering Image segmentation Robot vision robots Image information entropy

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Splinter detection of half-cut peaches

Splinter detection of half-cut peaches

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Conference on intelligent robots and computer vision XVI - algorithms, techniques, Active vision, and Materials Handling

作者： Vizmanos, JG Fuentes, LM Gutierrez, JA Univ. de Valladolid (Spain) SIFISA (Spain)

A machine vision system has been developed to separate half cut peaches with small splinters from clean ones. The system uses the different spectral profile of both together with an ad hoc illuminating system. The sys... 详细信息

ISBN: (纸本)0819426407

关键词： machine vision real time processing peaches food industry

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Diffractive 3D phase gratings will qualify optical sensors and image processing technologies for reaching performances of human vision

Diffractive 3D phase gratings will qualify optical sensors a...

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Conference on intelligent robots and computer vision XIX: algorithms, techniques, and Active vision

作者： Lauinger, N CORRSYS DATRON Sensorsyst GMBH D-35578 Wetzlar Germany

Diffractive 2D and 3D grating optics as enabling technologies are on a good way to technically realize specific features well known in human vision. How does the human eye do its job in visual information processing?

ISBN: (纸本)0819438626

关键词： Diffraction gratings 3D image processing Diffraction RGB color model Human vision and color perception Eye 3D vision Cones Visualization Retina

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AUTOMATIC INSPECTION OF ELECTRONIC SURFACE-MOUNT ASSEMBLIES 12

AUTOMATIC INSPECTION OF ELECTRONIC SURFACE-MOUNT ASSEMBLIES

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12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： FORTE, P BROWN, G BARNWELL, P MALYAN, R NETHERWOOD, P KINGSTON UNIV SCH COMP SCI & ELECTR SYSTKINGSTON THAMES KT1 2EESURREYENGLAND

An approach to image analysis is described consisting of five stages: edge detection, thresholding, linking, shape description and shape abstraction. The approach is illustrated by applying the steps to the problem of... 详细信息

ISBN: (纸本)0819413208

关键词： Inspection computer vision technology Machine vision Edge detection Robot vision robots Image analysis Image segmentation Shape analysis Telecommunications

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LOCATING FACIAL FEATURES FOR AGE CLASSIFICATION 12

LOCATING FACIAL FEATURES FOR AGE CLASSIFICATION

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12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： KWON, YH LOBO, ND UNIV CENT FLORIDA DEPT COMP SCIORLANDOFL 32816

ISBN: (纸本)0819413208

In this paper, we outline computations for visual age classification from facial images. For now, input images can only be classified into one of three age-groups: babies, adults, and senior adults. The computations are based on cranio-facial development theory, and wrinkle analysis. In the implementation, first primary features of the face are found, followed by secondary feature analyses. Preliminary results with real data are presented.

关键词： Mouth Eye Nose Iris computer vision technology Head Machine vision robots Robot vision Image classification

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