Results 141 to 150 of about 885,152 (196)

Feature geometry, underspecification and child substitutions

, 2017
openaire   +2 more sources

Applying Emergent Features Of Architectural Geometry

, 2017
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Substitute Geometry of Multidimensional Features

CIRP Annals, 2004
Abstract A substitute feature equation (SFE) which is of vital importance in geometric accuracy problems depends on size, position, and orientation deviations (SPODs). To synthesize the equation and evaluate its numerical parameters using CMM measurements, it is necessary to eliminate redundant components from the initial set of SPODs.
V. Portman, V. Shuster, Y. Rubenchik, Y. Shneor   +3 more
openaire   +1 more source

Features enhance the encoding of geometry

Animal Cognition, 2009
Successful navigation within an environment requires that the traveler establish the correct heading--a process referred to as orienting. Many studies have now shown that humans and non-human animals can use the geometric properties of an enclosure to orient.
openaire   +2 more sources

Mathematical Features of Whitehead’s Point-free Geometry

2008
This paper is devoted to some mathematical considerations on the geometrical ideas contained in PNK, CN and, successively, in PR. Mainly, we will emphasize that these ideas give very promising suggestions for a modern point-free foundation of geometry.
Annamaria Miranda, Giangiacomo Gerla
openaire   +2 more sources

Face recognition by feature orientation and feature geometry matching

Proceedings of 13th International Conference on Pattern Recognition, 1996
In this face recognition research, the eyebrows, eyes, nostrils, lips, and face contour are extracted separately. The shape, size, object-to-object distances, centroid, and orientation are found for each object. The techniques to solve the object shifting and rotating problems are investigated.
null Ching-Liang Su, C. Lursinsap
openaire   +1 more source

Geometry representations with unsupervised feature learning

2016 International Conference on Big Data and Smart Computing (BigComp), 2016
Geometry data in massive amounts can be generated thanks to the modern capture devices and mature geometry modeling tools. It is essential to develop the tools to analyze and utilize this big data. In this paper, we present an exploration of analyzing geometries via learning local geometry features.
null Yeo-Jin Yoon, Alexander Lelidis, A. Cengiz Oztireli, null Jung-Min Hwang, Markus Gross, null Soo-Mi Choi   +5 more
openaire   +1 more source