The problem of recognizing an object from a partially occluded boundary image is considered, and the concept of saliency of a boundary segment is introduced. Saliency measures the extent to which the boundary segment ...
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The problem of recognizing an object from a partially occluded boundary image is considered, and the concept of saliency of a boundary segment is introduced. Saliency measures the extent to which the boundary segment distinguishes the object to which it belongs from other objects which might be present. An algorithm is presented which optimally determines the saliency of boundary segments of one object with respect to those of a set of other objects. An efficient template matching algorithm using templates weighted by boundary segment saliency is then presented and employed to recognize partially occluded parts. The results of these experiments illustrate the effectiveness of the new technique.","doi":"10.1109/TPAMI.1985.4767680","publicationTitle":"IEEE Transactions on Pattern Analysis and Machine Intelligence","startPage":"410","endPage":"421","rightsLink":"http://***/AppDispatchServlet?publisherName=ieee&publication=0162-8828&title=Recognizing+Partially+Occluded+Parts&isbn=&publicationDate=July+1985&author=Jerry+L.+Turney&ContentID=10.1109/TPAMI.1985.4767680&orderBeanReset=true&startPage=410&endPage=421&volumeNum=PAMI-7&issueNum=4","displayPublicationTitle":"IEEE Transactions on Pattern Analysis and Machine Intelligence","pdfPath":"/iel5/34/4767672/***","keywords":[{"type":"IEEE Keywords","kwd":["Spatial databases","Image segmentation","Design automation","Layout","Geometry","Robots","computer aided manufacturing","Image recognition","Least squares methods","Belts"]},{"type":"Author Keywords ","kwd":["weighted template matching","Hough transform","least squares","occluded parts","saliency"]}],"allowComments":false,"pubLink":"/xpl/***?punumber=34","issueLink":"/xpl/***?isnumber=4767672","standardTitle":"Recognizing Partially Occluded Parts
The problem of simplifying the Lagrange dynamic equation of PUMA 600 robot manipulators is considered. By applying the numeric significance evaluation procedure to the symbolically expressed dynamic projection functio...
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An integrated multi-robot system (IMRS) consists of two or more robots, machinery and sensors, and is capable of executing almost all industrial processes with efficiency, flexibility and reliability. In order to supp...
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The Ada Research Group of the robotics Research Laboratory at The University of Michigan is currently developing a real-time distributed computing capability based upon the premises that real-time distributed language...
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作者:
Turney, J.L.Mudge, T.N.Volz, R.A.Robot Systems Division
Center for Robotics and Integrated Manufacturing Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48101 United States
In this paper, an approach is described for recognizing and locating partially hidden objects in an image. The method is based upon matching pairs of boundary segments of the template of an object with pairs of bounda...
A distributed testbed designed to support the development of a multi-sensory (vision and tactile) system for investigations in "active perception" of three dimensional objects is presented. Active perception...
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作者:
J. TurneyT. MudgeR. VolzRobot Systems Division
Center for Robotics and Integrated Manufacturing Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI
In this paper, an approach is described for recognizing and locating partially hidden objects in an image. The method is based upon matching pairs of boundary segments of the template of an object with pairs of bounda...
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In this paper, an approach is described for recognizing and locating partially hidden objects in an image. The method is based upon matching pairs of boundary segments of the template of an object with pairs of boundary segments in the image. Using a Bayesian based signal detection approach, pairs of segments are selected from the template of the object such that the probability of correctly identifying the object given that the pair is matched in the image is close to one. Assuming that models of all objects which might appear in the scene (a reasonable assumption for industrial applications) are known a priori, suitable pairs of segments can be determined a priori. Preliminary investigation suggests that the technique is robust and that subsecond recognition time can be achieved.
A distributed testbed designed to support the development of a multi-sensory (vision and tactile) system for investigations in "active perception" of three dimensional objects is presented. Active perception...
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A distributed testbed designed to support the development of a multi-sensory (vision and tactile) system for investigations in "active perception" of three dimensional objects is presented. Active perception means being able to not only see and feel objects but also manipulate and probe them. The nucleus of the testbed is a network of heterogeneous computers designed to support low-level real-time control processes as well as high-level knowledge-based systems. The programming environment of the testbed facilitates the construction and execution of a distributed multi-sensory system from sequential programs written in different programming languages.
In this review, we provide an overview of emerging trends and challenges in the field of intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of perception, planning, and decision-making...
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In this review, we provide an overview of emerging trends and challenges in the field of intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of perception, planning, and decision-making for autonomous vehicles have led to great improvements in functional capabilities, with several prototypes already driving on our roads and streets. Yet challenges remain regarding guaranteed performance and safety under all driving circumstances. For instance, planning methods that provide safe and system-compliant performance in complex, cluttered environments while modeling the uncertain interaction with other traffic participants are required. Furthermore, new paradigms, such as interactive planning and end-to-end learning, open up questions regarding safety and reliability that need to be addressed. In this survey, we emphasize recent approaches for integrated perception and planning and for behavior-aware planning, many of which rely on machine learning. This raises the question of verification and safety, which we also touch upon. Finally, we discuss the state of the art and remaining challenges for managing fleets of autonomous vehicles.
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