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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"

共 113 条记录，以下是31-40 订阅

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Two-image photometric stereo method

Two-image photometric stereo method

引用

intelligent robots and computer vision xi: biological, neural net, and 3-d methods

作者： Yang, Jun Ohnishi, Noboru Sugie, Noboru Nagoya Univ. Furo-Cho Chikusa-Ku Nagoya Japan

ISBN: (纸本)0819410276

In the photometric stereo method, the surface orientation of an object is determined by using multiple images (at least three images). The multiple images are obtained by changing the position of a light source, and the surface orientation of the object can be determined only in the area of the object illuminated by all light sources. So it is desirable that the number of light sources should be reduced. We propose a method for determining surface orientation along with reflectance, in which only two light sources are used. It is assumed that an object is convex and has a smooth Lambertian surface with locally constant reflectance. We have found the following: there exists a 'separation line' in the image, along which the surface normal is represented as a linear combination of two vectors pointing toward the direction of light sources, and the separation line separates the surface into two regions. Not only when the reflectance is known, but even though the reflectance is unknown, we can determine the surface orientation of the object using the property of the separation line. Here we use the constraint of convexity. Simulations carried out under various situations yielded satisfactory results.

关键词： computer vision

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Phase method for binocular vergence control and depth reconstruction

Phase method for binocular vergence control and depth recons...

引用

intelligent robots and computer vision xi: biological, neural net, and 3-d methods

作者： Theimer, Wolfgang M. Mallot, Hanspeter A. Toelg, Sebastian Ruhr Univ. Bochum Ger

ISBN: (纸本)0819410276

We present a technique to guide vergence movements for an active stereo camera system and to construct dense disparity maps. Both processes are described in the same theoretical framework based on phase differences in complex Gabor filter responses, modelling receptive field properties in the visual cortex. While the camera movements are computed with coarse spatial resolution input images, disparity calculation uses finer resolutions in a scale space. The correspondence problem is solved implicitly by restricting the disparity range around zero disparity to the filter kernel sizes (Panum's area in the human visual system). The method contrasts to matching algorithms - that require an explicit search for correspondence - and to correlation, needing a maximum detection in the correlation function. The vergence process is interpreted as a mechanism to minimize global disparity, thereby setting a 3d region of interest for subsequent disparity detection. This mall volume is centered around the fixation point where both optical axes intersect. Additionally it produces a scalar distance measure via vergence angles and camera base. The disparity map represents smaller local disparities as an important cue for depth perception. The vergence control works in a real-time feedback loop. Quantitative results are presented.

关键词： computer vision

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Adaptive time-delay neural network for temporal correlation and prediction

Adaptive time-delay neural network for temporal correlation ...

引用

intelligent robots and computer vision xi: biological, neural net, and 3-d methods

作者： Lin, d.-T. dayhoff, Judith E. Ligomenides, Panos A. Univ. of Maryland/Coll. Park Coll. Park MD USA

ISBN: (纸本)0819410276

dynamic identification of temporally changing signals is a key issue in real-time signal processing and understanding. Such changing signals may arise from moving objects in visual images, spoken words, target trajectories and other kinds of sensor data in a wide variety of applications. An Adaptive Time-delay neural network (ATNN) is proposed, which dynamically adapts its time-delays as well as its synaptic weights. The resulting network is trained to distinguish the temporal properties and spatiotemporal correlations of various input patterns. In biological systems, the delays along axons or at the synapses may vary, like in the ATNN, due to factors such as the length of the axon, insulation (myelin), or the details of the biochemical processes. In this paper, an improved learning algorithm based on gradient descent is derived, both for adaptive time-delays and synaptic strengths. This adaptation paradigm offers more flexibility for the network to attain the optimal time-delays and to achieve more accurate pattern mapping and classification than is the case of using arbitrary fixed delays, as has been done previously. Noise tolerance was tested on a series of experiments, and it is found that the proposed ATNN shows advantages. Time series prediction was tested with the chaotic Mackey-Glass equation, and the ATNN performed better than training with fixed time delays. The ATNN is suitable for spatiotemporal signal recognition, prediction and classification.

关键词： neural networks

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intelligent robots and computer vision X: neural, biological, and 3-d methods

Intelligent Robots and Computer Vision X: Neural, Biological...

引用

intelligent robots and computer vision X: neural, biological, and 3-d methods 1991

The proceedings contain 52 papers. The topic discussed include: nonreconstruction approach for road following;applying geometric sensor and scene models for range image understanding;estimation of motion parameters using binocular camera configurations;fusion-based depth estimation from a sequence of monocular images;scene description: interactive computation of stability with friction;planning of an active range sensor structure for pose estimation of 3-d regular objects;and clustering methods for removing outliers from vision-based range estimates.

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intelligent robots and computer vision X : neural,biological,and 3-d methods : 14-15 November 1991, Boston, Massachusetts / david P. Casasent, chair/editor;sponsored and published by SPIE--the Inter

Intelligent robots and computer vision X : neural,biological...

引用

1992年

作者： david P. Casasent chair/editor sponsored and published by SPIE--the International Society for Optical Engineering.

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AUTOMATEd STOP ANd GO dRIVING WITH computer vision

AUTOMATED STOP AND GO DRIVING WITH COMPUTER VISION

引用

11TH CONF ON intelligent robots ANd computer vision : biological, neural net, and 3-d methods

作者： KUEHNLE, A Daimler-Benz AG (Sweden)

ISBN: (纸本)0819410276

A computer vision-based system for stop and go driving is presented. The horizontal edges characteristics of vehicles are extracted with a model-based filter. Symmetric groups of horizontal lines indicate the centerlines of vehicles in the scene. discontinuities in the lines indicate the edges of the vehicles. The centerline and width of the vehicles gives the bearing and approximate range to them. This approximate range is filtered and used to maintain a safe distance to the vehicle ahead.

关键词： computer vision technology Machine vision Computing systems Model-based design Visual process modeling

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FROM PLANE TO SPACE CORRESPONdING LOCATION ANd 3-d INFORMATION ACQUISITION

FROM PLANE TO SPACE CORRESPONDING LOCATION AND 3-D INFORMATI...

引用

11TH CONF ON intelligent robots ANd computer vision : biological, neural net, and 3-d methods

作者： WANG, dZ WANG, LQ Nanjing Aeronautical Institute (China)

ISBN: (纸本)0819410276

This paper will describe from plane to space corresponding lines location 3-d information acquisition and three views reconstruction. For this purpose, a series of space geometry calibration should be done, and a set of coordinate also are set. Then the intersection of the corresponding points in space can be realized to acquire the 3-d depth information.

关键词： 3d acquisition Calibration

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ACQUIRING ALMOST 3d-MOdELS OF MECHANICAL OBJECTS FROM TECHNICAL ILLUSTRATIONS

ACQUIRING ALMOST 3D-MODELS OF MECHANICAL OBJECTS FROM TECHNI...

引用

11TH CONF ON intelligent robots ANd computer vision : biological, neural net, and 3-d methods

作者： ABE, N OHNO, K KITAHASHI, T HE, SJ Kyushu Institute of Technology (Japan) Osaka Univ. (Japan)

ISBN: (纸本)0819410276

Technical Illustrations (TI) are one of the strong methods to show a way to assemble/disassemble a mechanical assembly. The information including not only the shape of a constituent and an order of operations necessary to assemble/disassemble can be driven from a single TI. However an additional new TI is often required to further supplement insufficient information obtained from a single TI. The paper shows the solution required to resolve the problem which arises in augmenting a model description by unifying the results obtained from several TIs.

关键词： 3d modeling

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TECHNIQUES FOR HIGH-PERFORMANCE ANALOG neural netWORKS 10

TECHNIQUES FOR HIGH-PERFORMANCE ANALOG NEURAL NETWORKS

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： CASASENT, d NEIBERG, L NATARAJAN, S Carnegie Mellon Univ. (United States)

ISBN: (纸本)0819407453

We consider analog neural network implementations (using VLSI or optical technologies) with limited accuracy and various noise and nonlinearity error sources. Algorithms and techniques to achieve high performance (good recognition P'_c% and large storage capacity) on such systems are considered. The adaptive clustering neural net (ACNN) and robust Ho-Kashyap (HK-2) associative processor (AP) are the neural networks considered in detail.

关键词： Neurons Analog electronics neural networks Very large scale integration computer programming Quantization computer vision technology Machine vision Robot vision robots

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SYSTEM TO FINd EdGE CORRESPONdENCES IN UNSTRUCTUREd STEREO IMAGES

SYSTEM TO FIND EDGE CORRESPONDENCES IN UNSTRUCTURED STEREO I...

引用

11TH CONF ON intelligent robots ANd computer vision : biological, neural net, and 3-d methods

作者： GHERBI, R PAROdI, A Paris XI Univ. (France) Infodyne SARL (France)

ISBN: (纸本)0819410276

We present a new edge-based matching algorithm that can be applied for unstructured stereo images. We first review briefly a major recent development in establishing stereo correspondences and show that a great deal of research in stereo is needed in order to apply stereo techniques to solve more real-world problems. We then discuss why we use edges (without simplification and without linking) as primitives to be matched rather than other primitives (points, regions, ...) and what adequate edge detector should be used. We then argue that matching a whole parts of edges should be done rather than comparison of straight line segments. We then discuss the occlusion problem and some defects of the edge detector that possibly cut the edges to several pieces, and argue that partial matching of edges can be a solution to such problems. We then explain what best matching criteria are used, comprising both shape and gray level attributes. These criteria are chosen for their pertinence, representation and computation simplicity and for their similarity to those probably used in human vision system. Finally, complete quantitative experimental results are shown with various indoor and outdoor real world scenes.

关键词： Sensors Computing systems Human vision and color perception Image segmentation

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没有更多数据了...

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