Generalization of Lambert's reflectance model

Oren, Michael B.; Nayar, Shree K.

doi:10.1145/192161.192213

Cited by 306 publications

(227 citation statements)

References 27 publications

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“…In contrast to the standard Lambertian case that assumes the object surface to be ideally diffuse, the advanced OrenNayar model [13,14,15,16] explicitly allows to handle general rough surfaces. The idea of this model is to represent a rough surface as an aggregation of V-shaped cavities, each with Lambertian reflectance properties.…”

Section: Perspective Oren-nayar Sfs Brightness Equationmentioning

confidence: 99%

Generalised Perspective Shape from Shading with Oren-Nayar Reflectance

Ju¹,

Tozza²,

Breuß³

et al. 2013

Procedings of the British Machine Vision Conference 2013

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In spite of significant advances in Shape from Shading (SfS) over the last years, it is still a challenging task to design SfS approaches that are flexible enough to handle a wide range of input scenes. In this paper, we address this lack of flexibility by proposing a novel model that extends the range of possible applications. To this end, we consider the class of modern perspective SfS models formulated via partial differential equations (PDEs). By combining a recent spherical surface parametrisation with the advanced non-Lambertian Oren-Nayar reflectance model, we obtain a robust approach that allows to deal with an arbitrary position of the light source while being able to handle rough surfaces and thus more realistic objects at the same time. To our knowledge, the resulting model is currently the most advanced and most flexible approach in the literature on PDE-based perspective SfS. Apart from deriving our model, we also show how the corresponding set of sophisticated Hamilton-Jacobi equations can be efficiently solved by a specifically tailored fast marching scheme. Experiments with medical real-world data demonstrate that our model works in practice and that is offers the desired flexibility.

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Section: Perspective Oren-nayar Sfs Brightness Equationmentioning

confidence: 99%

Generalised Perspective Shape from Shading with Oren-Nayar Reflectance

Ju¹,

Tozza²,

Breuß³

et al. 2013

Procedings of the British Machine Vision Conference 2013

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“…To define the scattering technique for our simulation environment, we have used the roughness technique proposed by 'Oren-Nayar' [16] which is the modification of 'Lambertian method' [16]. Figure 1(b) defines the parameter notations, which have been used for describing the technique below.…”

Section: Scattering Modelmentioning

confidence: 99%

“…The terminology of diffuse reflection is expressed in terms of reflected radiance L r and incident radiance L i . Now by considering an isotropic surface with V cavities with same facet slop θ a and uniform distribution in orientation ϕ a , the radiance can be determined as [16] …”

Section: Scattering Modelmentioning

confidence: 99%

Efficient Radio Propagation Prediction Algorithm Including Rough Surface Scattering With Improved Time Complexity

Kausar¹,

Reza²,

Noordin³

et al. 2013

PIER B

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Abstract-Precise modeling of radio propagation is necessary for experiencing the benefits of wireless technology for indoor environments. Among many modeling techniques, the ray tracing based prediction models become popular for indoor wireless radio propagation characterization. Though the ray tracing models are popular, their key deficiency is the slower performance. In this paper, an accelerated technique for three dimensional ray tracing using Adelson-Velski and Landis (AVL) tree data structure is introduced. Here, the AVL tree data structure is coupled with the concepts of quadrant eliminating technique (QET) and nearest neighbor finder (NNF) for optimization and fast characterization of indoor wireless communication. Surface intersection scheme (SIS) is also introduced for optimizing the ray-object intersection time. The AVL tree is used for the effective handling of the objects and environments relative information. The QET technique decreases the ray tracing time by omitting unnecessary object, while NNF decreases the ray-object intersection time by finding the nearest object in an efficient technique. For the validation of the superiority of the proposed technique, a detailed comparison is made with the existing techniques. The comparison shows that the proposed technique has 81.69% lower time consumption than the existing techniques.

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“…The downsampled model is rendered with an inferred roughness from the wavelet decomposition. High frequency features estimated in the image are "painted" onto the sparse geometry by modulating the roughness term in an Oren -Nayar vertex shader proportional to the energy (Oren-Nayar is close to the true BRDF of lunar soil) [22]. A threshold can be applied to ensure major geometric features remain metrically true.…”

Section: Lunar Ground Mappingmentioning

confidence: 99%

Image-Directed Sampling for Geometric Modeling of Lunar Terrain

Wong

Garney²,

Whittaker

et al. 2013

Springer Tracts in Advanced Robotics

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Geo met ric modeling fro m range scanners can be vastly improved by sampling the scene with a Nyquist criterion. This work presents a method to estimate frequency content a priori from intensity imagery using wavelet analysis and to utilize these estimates in efficient single-view sampling. The key idea is that under certain constrained and estimab le image fo rmation conditions, images are a strong predictor of surface frequency. This approach is explored in the context of lunar application to enhance robotic modeling. Experimentation on simulated data and in artificial lunar terrain at aerial and ground rover scales is documented . Results show up to 40% improvement in MSE reconstruction error. Lastly, a class of image-directed range sensors is described and a hardware imp lementation of this paradigm on a structured light scanner is demonstrated.

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Generalization of Lambert's reflectance model

Cited by 306 publications

References 27 publications

Generalised Perspective Shape from Shading with Oren-Nayar Reflectance

Generalised Perspective Shape from Shading with Oren-Nayar Reflectance

Efficient Radio Propagation Prediction Algorithm Including Rough Surface Scattering With Improved Time Complexity

Image-Directed Sampling for Geometric Modeling of Lunar Terrain

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