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標(biāo)題: Titlebook: Data Fusion for Sensory Information Processing Systems; James J. Clark,Alan L. Yuille Book 1990 Springer-Verlag US 1990 Frames.Stereo.algo [打印本頁(yè)]

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書目名稱Data Fusion for Sensory Information Processing Systems被引頻次




書目名稱Data Fusion for Sensory Information Processing Systems被引頻次學(xué)科排名




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書目名稱Data Fusion for Sensory Information Processing Systems年度引用學(xué)科排名




書目名稱Data Fusion for Sensory Information Processing Systems讀者反饋




書目名稱Data Fusion for Sensory Information Processing Systems讀者反饋學(xué)科排名





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Data Fusion Applied to Feature Based Stereo Algorithms,esian approach to vision outlined in chapters 2 and 3, in particular in terms of coupled Markov Random Fields. We show that this formalism is rich enough to contain most of the elements used in standard stereo theories.
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Fusing Binocular and Monocular Depth Cues,ing the computation of another. For example if the modules are stereo and eye-movements, then the eye-movements directly affect the matching of the stereo process. We will primarily concentrate on methods for strongly coupling stereo with monocular cues. The formalism, however, is more general and c
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Data Fusion in Shape From Shading Algorithms,the light reflected off of the object. We demonstrate the application of two different forms of weakly coupled fusion to the problem of estimating object shape from shading information. The first example is of an algebraic approach, while the second involves an energy function or Bayesian approach.
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作者: Inordinate    時(shí)間: 2025-3-23 03:45
Towards a Constraint Based Theory of Sensory Data Fusion,What information is required is related to the activities that the organism undertakes. In order to obtain the required world information one must invert the world-image mapping. In general this mapping is non-invertible so that extra information must be added to constrain the space of world configu
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Data Fusion for Sensory Information Processing Systems
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Data Fusion for Sensory Information Processing Systems978-1-4757-2076-1Series ISSN 0893-3405
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Subramania Jayaraman,Lawrence H. Lanzle with which constraints can be embedded. The constraint embedding was seen to be performed through the specification of suitable image formation and prior models. The image formation model typically involved the physical, and to a lesser extent natural, constraints, while the prior model typically involved natural and artificial constraints.
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https://doi.org/10.1007/978-1-4757-2076-1Frames; Stereo; algorithms; classification; cognition; sensor; shading
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Equipment for Radioisotope Teletherapyrmation processing tasks. We saw that a major problem concerning the use of constraints lies in determining how the constraints are to be embedded in the algorithm(s) that carry out the information processing tasks.
作者: 震驚    時(shí)間: 2025-3-25 09:34
Equipment for Radioisotope Teletherapyation, approach to inverting the world-image mapping. In this chapter we review the application of this paradigm to early vision and its incorporation within the Bayesian framework. We will concentrate in this section on using this formulation to impose smoothness constraints on the solutions; other
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Subramania Jayaraman,Lawrence H. Lanzle with which constraints can be embedded. The constraint embedding was seen to be performed through the specification of suitable image formation and prior models. The image formation model typically involved the physical, and to a lesser extent natural, constraints, while the prior model typically
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作者: 災(zāi)難    時(shí)間: 2025-3-26 09:42
The Epistemology of Placebo EffectWhat information is required is related to the activities that the organism undertakes. In order to obtain the required world information one must invert the world-image mapping. In general this mapping is non-invertible so that extra information must be added to constrain the space of world configu
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The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/d/image/262811.jpg
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作者: ENNUI    時(shí)間: 2025-3-27 01:54
Data Fusion Applied to Feature Based Stereo Algorithms,esian approach to vision outlined in chapters 2 and 3, in particular in terms of coupled Markov Random Fields. We show that this formalism is rich enough to contain most of the elements used in standard stereo theories.
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作者: Indicative    時(shí)間: 2025-3-28 01:36
Fusing Binocular and Monocular Depth Cues, different features that described in the previous chapter can be naturally extended to incorporate these additional cues. Again methods from statistical mechanics, or statistics, can be applied to impose the matching constraints in a “strong” manner.
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作者: 祖先    時(shí)間: 2025-3-28 09:58
Nuclear Transitions and Radioactive Decayhave looked towards these studies in search of clues as to how machines can be made to gather and process information. In this book we focus on an important aspect of sensory information processing, that of fusing separate sources of sensory information.
作者: 云狀    時(shí)間: 2025-3-28 12:10
Jos Dobber,José Harmsen,Margriet van Ierselect shape from shading information. The first example is of an algebraic approach, while the second involves an energy function or Bayesian approach. We follow this description of the weakly coupled methods with an illustration of how we can convert the weakly coupled fusion algorithms into a strongly coupled fusion algorithm.
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作者: 關(guān)節(jié)炎    時(shí)間: 2025-3-28 21:56
Introduction: The Role of Data Fusion in Sensory Systems,have looked towards these studies in search of clues as to how machines can be made to gather and process information. In this book we focus on an important aspect of sensory information processing, that of fusing separate sources of sensory information.




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