We propose a novel feature-based image registration method using both the local and global structures of the feature points. To address various imaging conditions, we improve the l...
In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds. We pro...
Andrei Zaharescu (INRIA Grenoble), Edmond Boyer (L...
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
This paper presents a novel method for feature description based on intensity order. Specifically, a Local Intensity Order Pattern(LIOP) is proposed to encode the local ordinal i...
— In robotics, vertical lines have been always very useful for autonomous robot localization and navigation in structured environments. This paper presents a robust method for ma...