A New Perspective Shape from Shading Approach for Hybrid Surfaces

2014 ◽  
Vol 519-520 ◽  
pp. 602-605 ◽  
Author(s):  
Guo Hui Wang ◽  
Jin Cheng ◽  
Quan Rui Wei

Shape from shading (SFS) is a classical and important problem in the domain of computer vision. The first paper of the authors gives a new image irradiance equation for perspective SFS method to reconstruct the hybrid surfaces that have both diffuse reflection and specular reflection. This paper presents a new approach to compute the viscosity solution of the resulting Hamilton- Jacobi (H-J) equation considering the boundary conditions. The approach is based on 2D central Hamiltonian and iterative sweeping method. Experiments are performed on three images and the results show the effectiveness of the proposed approach.

2014 ◽  
Vol 519-520 ◽  
pp. 676-679
Author(s):  
Guo Hui Wang ◽  
Jin Cheng ◽  
Quan Rui Wei

Shape from shading (SFS) is a classical and important problem in the domain of computer vision. This paper presents a new image irradiance equation for perspective SFS method to reconstruct the hybrid surfaces that have both diffuse reflection and specular reflection. The hybrid reflectance model composed of a linear combination of Oren-Nayar model and Ward model is used to express the hybrid surfaces. An imaging model incorporating near point light source, perspective camera projection and the hybrid reflectance model is established. Under this model, the image irradiance equation has been derived as a non-linear partial differential equation (PDE). The resulting PDE is associated with a static Hamilton-Jacobi (H-J) equation considering the boundary conditions. Thus, the image irradiance equation of hybrid surfaces can be solved further.


2021 ◽  
Vol 883 ◽  
pp. 3-10
Author(s):  
Fabian Kappe ◽  
Mathias Bobbert ◽  
Gerson Meschut

The increasing use of multi-material constructions lead to a continuous increase in the use of mechanical joining techniques due to the wide range of joining possibilities as well as the high load-bearing capacities of the joints. Nevertheless, the currently rigid tool systems are not able to react to changing boundary conditions, like changing the material-geometry-combination. Therefore research work is crucial with regard to versatile joining systems. In this paper, a new approach for a versatile self-piercing riveting process considering the joining system as well as the auxiliary joining part is presented.


POETICA ◽  
2021 ◽  
Vol 52 (3-4) ◽  
pp. 228-265
Author(s):  
Rafael Simian

Abstract Guigo II is commonly known and praised among specialists of Western mysticism for his Scala claustralium, a work that presents a spiritual program for cloistered monks. His Meditations, on the other hand, have usually been relegated to the margin of attention. The First Meditation, in particular, is generally regarded as a minor piece. The paper argues, however, that a new approach can make better sense of the First Meditation, while also enabling us to recognize its specific function and value. Seen from this new perspective, Guigo’s purpose with the text is to train and exercise his readers’ minds according to the spiritual program laid out in the Scala. The paper shows that the First Meditation realizes that goal, surprisingly, by having the same essential features that Umberto Eco found in the ‘open works’ of the Western avant-garde.


Geophysics ◽  
2020 ◽  
Vol 85 (1) ◽  
pp. R11-R28 ◽  
Author(s):  
Kun Xiang ◽  
Evgeny Landa

Seismic diffraction waveform energy contains important information about small-scale subsurface elements, and it is complementary to specular reflection information about subsurface properties. Diffraction imaging has been used for fault, pinchout, and fracture detection. Very little research, however, has been carried out taking diffraction into account in the impedance inversion. Usually, in the standard inversion scheme, the input is the migrated data and the assumption is taken that the diffraction energy is optimally focused. This assumption is true only for a perfectly known velocity model and accurate true amplitude migration algorithm, which are rare in practice. We have developed a new approach for impedance inversion, which takes into account diffractive components of the total wavefield and uses the unmigrated input data. Forward modeling, designed for impedance inversion, includes the classical specular reflection plus asymptotic diffraction modeling schemes. The output model is composed of impedance perturbation and the low-frequency model. The impedance perturbation is estimated using the Bayesian approach and remapped to the migrated domain by the kinematic ray tracing. Our method is demonstrated using synthetic and field data in comparison with the standard inversion. Results indicate that inversion with taking into account diffraction can improve the acoustic impedance prediction in the vicinity of local reflector discontinuities.


2008 ◽  
Vol 16 (4) ◽  
pp. 483-507 ◽  
Author(s):  
Leonardo Trujillo ◽  
Gustavo Olague

This work describes how evolutionary computation can be used to synthesize low-level image operators that detect interesting points on digital images. Interest point detection is an essential part of many modern computer vision systems that solve tasks such as object recognition, stereo correspondence, and image indexing, to name but a few. The design of the specialized operators is posed as an optimization/search problem that is solved with genetic programming (GP), a strategy still mostly unexplored by the computer vision community. The proposed approach automatically synthesizes operators that are competitive with state-of-the-art designs, taking into account an operator's geometric stability and the global separability of detected points during fitness evaluation. The GP search space is defined using simple primitive operations that are commonly found in point detectors proposed by the vision community. The experiments described in this paper extend previous results (Trujillo and Olague, 2006a,b) by presenting 15 new operators that were synthesized through the GP-based search. Some of the synthesized operators can be regarded as improved manmade designs because they employ well-known image processing techniques and achieve highly competitive performance. On the other hand, since the GP search also generates what can be considered as unconventional operators for point detection, these results provide a new perspective to feature extraction research.


1994 ◽  
Vol 22 (3) ◽  
pp. 351-373 ◽  
Author(s):  
Jian Wang ◽  
Christine Eisenbeis ◽  
Martin Jourdan ◽  
Bogong Su

2014 ◽  
Vol 12 (1) ◽  
pp. 44-52 ◽  
Author(s):  
Milda Pucetaite ◽  
Sandra Tamosaityte ◽  
Anders Engdahl ◽  
Justinas Ceponkus ◽  
Valdas Sablinskas ◽  
...  

AbstractSpecular reflection infrared microspectroscopy was used for chemical imaging of cross-sectioned urinary stones to determine their chemical composition and morphology simultaneously. Absorption spectral bands were recovered from reflection spectra by Kramers-Kronig transform. FUse of far-infrared radiation provides high-contrast images and allows more precise constituent distribution determinations than mid-infrared because band asymmetry after the transform caused by diffuse reflection is less in the far-infrared.


Author(s):  
Hedenir Monteiro Pinheiro ◽  
Ronaldo Martins da Costa ◽  
Eduardo Nery Rossi Camilo ◽  
Anderson da Silva Soares ◽  
Rogerio Salvini ◽  
...  
Keyword(s):  

Author(s):  
Mihai V. Putz ◽  
Marina A. Tudoran ◽  
Marius C. Mirica ◽  
Mirela I. Iorga ◽  
Radu Bănică ◽  
...  

With the ever present-to-future need of renewable energy the main features of photo-electrochemistry processes are reviewed and described from the perspective of devices phenomenology serving to sustainable design of photovoltaics, while providing the quantum insight in terms of data observability and interpretation. At the same time, the photovoltaic cell “enriched” with quantum dots is presented as a “milestone for obtaining green energy”, a perspective opened by the developing of recent nanotechnology. Nevertheless, this new approach is referring to both theoretical and experimental aspects, both equally needed in order to find a way to develop efficient and ecological photovoltaic devices. Finally, bondonic information for molecules activated in mesoscopic scale are determined while combining their FT-IR spectra with photovoltaic fill factor and metrological quantum triangle (electron tunneling, Josephson effect and quantum Hall effect) towards challenging new perspective of sub-quantum interaction in condensed nano-matter.


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