نتایج جستجو برای: image object hierarchy

تعداد نتایج: 679404  

2002
Gabriela Arévalo Tom Mens

This paper proposes to use the formal technique of Concept Analysis to analyse how methods and classes in an object-oriented inheritance hierarchy are coupled by means of the inheritance and interfaces relationships. Especially for large and complex inheritance hierarchies, we believe that a formal analysis of how behaviour is reused can provide insight in how the hierarchy was built and the di...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2007
Thomas Serre Aude Oliva Tomaso Poggio

Primates are remarkably good at recognizing objects. The level of performance of their visual system and its robustness to image degradations still surpasses the best computer vision systems despite decades of engineering effort. In particular, the high accuracy of primates in ultra rapid object categorization and rapid serial visual presentation tasks is remarkable. Given the number of process...

Journal: :SIAM J. Comput. 2000
Wai-Kau Lo Vassos Hadzilacos

A wait-free hierarchy Herlihy91, Jayanti93] classiies object types on the basis of their strength in supporting wait-free implementations of other types. Such a hierarchy is robust if it is impossible to implement objects of types that it classiies as \strong" by combining objects of types that it classiies as \weak". We prove that, if nondeterministic types are allowed, the only wait-free hier...

2008
Susanne Wenzel

We propose an incremental learning scheme for learning a class hierarchy for objects typically occurring multiple in images. Given one example of an object that appears several times in the image, e.g. is part of a repetitive structure, we propose a method for identifying prototypes using an unsupervised clustering procedure. These prototypes are used for building a hierarchical appearance base...

1997
Markus Peura

This paper introduces a method for classifying structured visual objects that appear frequently in meteorological, medical and biological imagery. The focused objects are taken to be highly irregular and composed of subobjects in a hierarchical manner. The approach consists three principal steps. At rst, hierarchical objects are detected in an segmented image. Secondly, shape descriptors are us...

2001
Alexandre Meyer Fabrice Neyret Pierre Poulin

The goal of this paper is the interactive rendering of 3D trees covering a landscape, with shading and shadows consistent with the lighting conditions. We propose a new IBR representation, consisting of a hierarchy of Bidirectional Textures, which resemble 6D lightfields. A hierarchy of visibility cube-maps is associated to this representation to improve the performance of shadow calculations. ...

Journal: :Information & Software Technology 1998
Woochun Jun Le Gruenwald

In this paper, we present a locking-based concurrency control scheme for object-oriented databases (OODBs). Our scheme deals with class hierarchy which is an important property in OODBs. The existing concurrency controls for a class hierarchy perform well only for specific environments. Our scheme is based on so called special classes and can be used for any applications with less locking overh...

1997
Michael Freeston

In [Fre95b] we discussed the use of multi-dimensional index methods in constraint databases. In [Fre95a] we showed how to overcome a fundamental problem which has afflicted all multi-dimensional indexing techniques based on the recursive partitioning of a dataspace: how to build the partition hierarchy so that the location of each object in the hierarchy is specified unambiguously (i.e. each ob...

1995
Parag Havaldar Gérard G. Medioni

We address the recovery of segmented, 3 0 descriptions of an object from intensity images. We use three views of an objectfrom slightly different viewpoints as our input. For each image we extract a hierarchy of groups based on proximity, parallelism and symmetry in a robust manner. The groups in the three images are matched by computing the epipolar geometry. For each set of matched groupsfrom...

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