Dense Feature Matching Core for FPGA-based Smart Cameras
Texte intégral
Figure
Documents relatifs
Visual servoing based on the pure photometric feature (pix- els luminance of the entire images) is designed to minimize the difference between a desired image I(r ∗ ) and images
We discard the top 5 visual words, vi- sual words containing multiple feature vectors from a single image and visual words with less than 5 feature vectors.. We use Bundler
© ministère de la Culture et de la Communication, Direction régionale des affaires culturelles de Rhône-Alpes, Service régional
après-midi, aura lieu une matinée donnée par des enfants au profit des diaconies catholiques natio nales.. Les amis de l’enfance sont cordiale ment
The correlogram of the scattering response of an isolated canonical corner reflector, which is known a priori, was com- pared with the correlogram of the received radar image within
La collecte du sang est la plus importante des fonctions d’un service de transfusion : son organisation doit recevoir toute l’attention qui convient. Il est largement admis que
This section presents the feature extraction methodology proposed in the context of this paper. The extracted features are able to quantify the degree of anomaly of each MOAS
5.9 Positioning task with the light source mounted on the camera: (a) cost function assuming a temporal luminance constancy model (solid line) and using an illumination model
