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...
详细信息
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.
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
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 programming. The reason for refinement is accurate shape classification.
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 stru...
详细信息
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.
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 ...
详细信息
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.
Within the area of environmental perception, automatic navigation, object detection, and computervision are crucial and demanding fields with many applications in modern industries, such as multi-target long-term vis...
详细信息
Within the area of environmental perception, automatic navigation, object detection, and computervision 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 computervision 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 computervision 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 computervision. 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 computervisiontechniques was compiled. Furthermore, a comparative analysis of conventional and novel algorithms was undertaken to discuss the future trends and directions of computervision. Lastly, the feasibility of employing visual SLAM algorithms in the context of autonomous vehicles was explored. Additionally, in the context of intelligentrobots 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 computervisionalgorithms, with a detailed exploration of how to balance these factors and a discussion of potential future development trends.
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...
详细信息
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.
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
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 system is capable of process 30 half peaches per second. The hardware and software solutions are described.
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
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?
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
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 automatic inspection.
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 a...
详细信息
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.
暂无评论