We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
This paper presents a method to estimate geometrical, photometrical, and environmental information of a singleviewed object in one integrated framework under fixed viewing positio...
Daisuke Miyazaki, Robby T. Tan, Kenji Hara, Katsus...
Feature points for image correspondence are often selected according to subjective criteria (e.g. edge density, nostrils). In this paper, we present a general, non-subjective crit...
We present a technique to extract complex suburban roofs from sets of aerial images. Because we combine 2-D edge information, photometric and chromatic attributes and 3-D informati...
Frank Bignone, Olof Henricsson, Pascal Fua, Markus...
The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...