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检索条件"任意字段=Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3-D Methods"
113 条 记 录,以下是51-60 订阅
排序:
MONOCULAR POSE ESTIMATION OF QUAdRICS OF REVOLUTION  10
MONOCULAR POSE ESTIMATION OF QUADRICS OF REVOLUTION
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: FERRI, M MANGILI, F Univ. di Bologna (Italy) Elsag Bailey Spa (Italy)
The ability to determine an object's position accurately and quickly is important in many robotics tasks. Monocular scene analysis based on perspective projection can be successfully used to solve this problem if ... 详细信息
来源: 评论
STEREO PAIR dESIGN FOR CAMERAS WITH A FOVEA  10
STEREO PAIR DESIGN FOR CAMERAS WITH A FOVEA
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: CHETTRI, SR KEEFE, M ZIMMERMAN, JR Hughes-STX at NASA/GSFC (United States) Univ. of Delaware (United States)
In this paper we describe the methodology for the design and selection of a stereo pair when the cameras have a greater concentration of sensing elements in the center of the image plane (fovea). Binocular vision is i... 详细信息
来源: 评论
INTERSECTION MAPPINGS FOR STEREO vision  10
INTERSECTION MAPPINGS FOR STEREO VISION
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: NURRE, JH Ohio Univ. (United States)
Stereo vision triangulation methods are used for three-dimensional measurements in conjunction with robot guidance and machine inspection applications. Understanding the computational geometry associated with stereo i... 详细信息
来源: 评论
OPTICAL-IMAGE SEGMENTATION USING WAVELET CORRELATION  10
OPTICAL-IMAGE SEGMENTATION USING WAVELET CORRELATION
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: PINSKI, Sd ROGERS, SK RUCK, dW WELSH, BM KABRISKY, M WARHOLA, G QUINN, d OXLEY, M Air Force Institute of Technology (United States)
This research introduces an optical method of segmenting potential targets using wavelet analysis. An optical Harr wavelet is created using a magneto-optic spatial light modulator (MOSLM). Two methods of controlling w... 详细信息
来源: 评论
NEURONAL-MORPHOLOGY OF biological vision - A BASIS FOR MACHINE vision  10
NEURONAL-MORPHOLOGY OF BIOLOGICAL VISION - A BASIS FOR MACHI...
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: GUPTA, MM Univ. of Saskatchewan (Canada)
In this paper, we are concerned with the study of the biological vision system and the emulation of some of its mathematical functions, in both the retinal and visual cortex, for the development of a robust computer v... 详细信息
来源: 评论
A REGULAR CURVEd OBJECTS CSG-REP RECONSTRUCTION FROM A SINGLE 2d LINE dRAWING  10
A REGULAR CURVED OBJECTS CSG-REP RECONSTRUCTION FROM A SINGL...
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: WANG, Wd Computer Science Department University of Massachusetts at Lowell Lowell 01854 MA United States
In 1989 SPIE's conference on intelligent robots and computer vision, we presented our approach and algorithm to automatically identify the primitives that are involved in constructing a 3d polyhedral solid. We hav... 详细信息
来源: 评论
A NEURO-vision PROCESSOR FOR dESIGNING intelligent SENSORS  10
A NEURO-VISION PROCESSOR FOR DESIGNING INTELLIGENT SENSORS
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: GUPTA, MM KNOPF, GK Intelligent Systems Research Laboratory College of Engineering University of Saskatchewan Saskatoon S7N OWO SK Canada
A programmable multi-task neuro-vision processor, called the Positive-Negative (PN) neural processor, is proposed as a plausible hardware mechanism for constructing robust multi-task vision sensors. The computational ... 详细信息
来源: 评论
A PIECEWISE QUAdRATIC neural netWORK FOR PATTERN-CLASSIFICATION  10
A PIECEWISE QUADRATIC NEURAL NETWORK FOR PATTERN-CLASSIFICAT...
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: NATARAJAN, S CASASENT, d Center for Excellence in Optical Data Processing Carnegie Mellon University ECE Department Pittsburgh 15213 PA United States
A neural network pattern classifier is presented. Its decision boundaries are formed from segments of conic sections which allows it to achieve improved performance over piecewise linear neural network classifiers, su... 详细信息
来源: 评论
TEXTURE OPERATOR dETERMINATION BY SIMULATEd ANNEALING  10
TEXTURE OPERATOR DETERMINATION BY SIMULATED ANNEALING
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: KJELL, B WANG, PY George Mason Univ. (United States)
Convolution of textured images with a set of small masks can be used to produce features for texture classification or for image segmentation. These masks are usually picked from a standard set, such as Laws' text... 详细信息
来源: 评论
EFFICIENT ACTIVATION FUNCTIONS FOR THE BACK-PROPAGATION neural netWORK  10
EFFICIENT ACTIVATION FUNCTIONS FOR THE BACK-PROPAGATION NEUR...
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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods
作者: KENUE, SK General Motors Research Labs. (United States)
The back-propagation algorithm is the most common algorithm in use in artificial neural network research. The standard activation (transfer) function is the logistic function s(x) equals 1/(1 + exp(-x)). The derivativ... 详细信息
来源: 评论