scholarly journals Manifold Learning for 3D Shape Description and Classification

2014 ◽  
Author(s):  
Yun R. Fu
Author(s):  
Marie-Noe¨lle Pons ◽  
Herve´ Vivier ◽  
Thierry Rolland
Keyword(s):  

2015 ◽  
Vol 49 (12) ◽  
pp. 7310-7318 ◽  
Author(s):  
Wouter Devarrewaere ◽  
Dieter Foqué ◽  
Udo Heimbach ◽  
Dennis Cantre ◽  
Bart Nicolai ◽  
...  

2011 ◽  
Vol 1 (1) ◽  
Author(s):  
Dariusz Frejlichowski

AbstractInterest in three-dimensional shape retrieval is currently increasing, driven by two important reasons — the rapid increase of the amount of multimedia data and a noticeable advance in computer hardware and software during recent years. Presently, it is possible to retrieve complicated 3D models in a reasonable span of time thanks to the use of sophisticated 3D shape description algorithms, a feat which was unthinkable a few years ago. The main issue is the efficiency of the approaches, which must work both quickly and reliably. Hence, in this paper four 3D shape description algorithms — Extended Gaussian Image, Shape Distributions, Shape Histograms and Light Field Descriptor — were experimentally compared in order to determine which was most effective. As it turned out, the latter obtained the best retrieval result.


2003 ◽  
Vol 123 (2) ◽  
pp. 292-300
Author(s):  
Rajalida Lipikorn ◽  
Akinobu Shimizu ◽  
Yoshihiro Hagihara ◽  
Hidefumi Kobatake
Keyword(s):  

1998 ◽  
Vol 10 (2) ◽  
pp. 295-312 ◽  
Author(s):  
Lin Liu ◽  
Marc M. Van Hulle

The projective transformation onto the retina loses the explicit 3D shape description of a moving object. Theoretical studies show that the reconstruction of 3D shape from 2D motion information (shape from motion, SFM) is feasible provided that the first- and second-order directional derivatives of the 2D velocity field are available. Experimental recordings have revealed that the receptive fields of the majority of the cells in macaque area middle temporal (MT) display an antagonistic (suppressive) surround and that a sizable portion of these surrounds are asymmetrical. This has led to the conjecture that these cells provide a local measure for the directional derivatives of the 2D velocity field. In this article, we adopt a nonparametric and biologically plausible approach to modeling the role played by the MT surrounds in the recovery of the orientation in depth (the slant and tilt) of a moving (translating) plane. A three-layered neural network is trained to represent the slant and tilt from the projected motion vectors. The hidden units of the network have speed-tuning characteristics and represent the MT model neurons with their surrounds. We conjecture that the MT surround results from lateral inhibitory connections with other MT cells and that populations of these cells, with different surround types, code linearly for slant and tilt of translating planes.


2006 ◽  
Author(s):  
Aaron D. Ward ◽  
Mark E. Schweitzer ◽  
Ghassan Hamarneh

2014 ◽  
Vol 30 (11) ◽  
pp. 1233-1245 ◽  
Author(s):  
Davide Boscaini ◽  
Umberto Castellani

Author(s):  
C.L. Woodcock

Despite the potential of the technique, electron tomography has yet to be widely used by biologists. This is in part related to the rather daunting list of equipment and expertise that are required. Thanks to continuing advances in theory and instrumentation, tomography is now more feasible for the non-specialist. One barrier that has essentially disappeared is the expense of computational resources. In view of this progress, it is time to give more attention to practical issues that need to be considered when embarking on a tomographic project. The following recommendations and comments are derived from experience gained during two long-term collaborative projects.Tomographic reconstruction results in a three dimensional description of an individual EM specimen, most commonly a section, and is therefore applicable to problems in which ultrastructural details within the thickness of the specimen are obscured in single micrographs. Information that can be recovered using tomography includes the 3D shape of particles, and the arrangement and dispostion of overlapping fibrous and membranous structures.


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