8 research outputs found

    Research on Intrinsic Image Decomposition Algorithm and Its Applications

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    本征图像分解是计算机视觉中的一个基础问题,给定一幅输入图像,需要分解出对应的反照率本征图和亮度本征图,早期的本征图分解算法Retinex算法模拟了人眼的光照不变性,获得了较好的分解结果,但是其忽略了人的双目的深度辨别能力。本文提出将深度图像信息与导数分类的Retinex相结合的本征图分解方法,解决了StereoRetinex将深度信息与Retinex多层模型结合导致的在高层金字塔中丢失深度边界的问题,该方法结合深度信息对图像导数进行二分类,一类为反照率导数,一类为亮度导数,在导数分类完成后只需要通过积分的方式即可获得对应的反照率本征图和亮度本征图。实验结果表明该方法很好的提高了Retinex算...Intrinsic image decomposition is a fundamental problem in computer vision, given an input image, corresponding reflectance and lightness image need to be decomposed. Early algorithm Retinex simulated the eyes’ invariance to illumination, and achieved good results, but it didn’t use the eyes’ ability to identity depth. In our work we proposal to combine the depth information with derivative Retinex...学位:工程硕士院系专业:信息科学与技术学院智能科学与技术系_计算机技术学号:3152011115318

    Non-implementation of property rating practice, any impact on community healthcare in Bauchi Metropolis Nigeria?

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    The practice of rating real estate is essentially an internal revenue source, synonymous to tenement tax levied on the owner/occupier. Property rating in Nigeria is bedevilled by many factors that impeded its smooth implementation and operation, thus, this form of taxation yields zero revenue in Bauchi, due to failure of implementation. This study is aimed at measuring the impact of non-implementation of property rating on community healthcare in Bauchi metropolis of Nigeria. Two hundred and fifty (250) closed-ended questionnaires composed in five-level Likert scale were distributed to professionals in the field of real estate and facilities management, in the academia and estate firms, and two hundred and twenty one questionnaires (221) were mailed back for analysis. The Structural Equation Modelling (SEM) in IBM version of SPSS with AMOS was used to establish relationship between the variables. Findings from this study reveals that PRP does not command direct impact on community healthcare services, however, the services financed by property rating in the area of sanitation and sewage cleaning has the tendencies to curb the occurrence of diseases like cholera and malaria. Thus, it can be understood that a fully institutionalized practice of property rating could avert the outbreak of diseases

    Non-implementation of property rating practice, any impact on community healthcare in Bauchi Metropolis Nigeria?

    Get PDF
    The practice of rating real estate is essentially an internal revenue source, synonymous to tenement tax levied on the owner/occupier. Property rating in Nigeria is bedevilled by many factors that impeded its smooth implementation and operation, thus, this form of taxation yields zero revenue in Bauchi, due to failure of implementation. This study is aimed at measuring the impact of non-implementation of property rating on community healthcare in Bauchi metropolis of Nigeria. Two hundred and fifty (250) closed-ended questionnaires composed in five-level Likert scale were distributed to professionals in the field of real estate and facilities management, in the academia and estate firms, and two hundred and twenty one questionnaires (221) were mailed back for analysis. The Structural Equation Modelling (SEM) in IBM version of SPSS with AMOS was used to establish relationship between the variables. Findings from this study reveals that PRP does not command direct impact on community healthcare services, however, the services financed by property rating in the area of sanitation and sewage cleaning has the tendencies to curb the occurrence of diseases like cholera and malaria. Thus, it can be understood that a fully institutionalized practice of property rating could avert the outbreak of diseases

    Illumination Invariant Outdoor Perception

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    This thesis proposes the use of a multi-modal sensor approach to achieve illumination invariance in images taken in outdoor environments. The approach is automatic in that it does not require user input for initialisation, and is not reliant on the input of atmospheric radiative transfer models. While it is common to use pixel colour and intensity as features in high level vision algorithms, their performance is severely limited by the uncontrolled lighting and complex geometric structure of outdoor scenes. The appearance of a material is dependent on the incident illumination, which can vary due to spatial and temporal factors. This variability causes identical materials to appear differently depending on their location. Illumination invariant representations of the scene can potentially improve the performance of high level vision algorithms as they allow discrimination between pixels to occur based on the underlying material characteristics. The proposed approach to obtaining illumination invariance utilises fused image and geometric data. An approximation of the outdoor illumination is used to derive per-pixel scaling factors. This has the effect of relighting the entire scene using a single illuminant that is common in terms of colour and intensity for all pixels. The approach is extended to radiometric normalisation and the multi-image scenario, meaning that the resultant dataset is both spatially and temporally illumination invariant. The proposed illumination invariance approach is evaluated on several datasets and shows that spatial and temporal invariance can be achieved without loss of spectral dimensionality. The system requires very few tuning parameters, meaning that expert knowledge is not required in order for its operation. This has potential implications for robotics and remote sensing applications where perception systems play an integral role in developing a rich understanding of the scene

    A STUDY OF ILLUMINANT ESTIMATION AND GROUND TRUTH COLORS FOR COLOR CONSTANCY

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    Ph.DDOCTOR OF PHILOSOPH
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