This paper develops a theory of frequency domain invariants in computer vision. We derive novel identities using spherical harmonics, which are the angular frequency domain analog ...
We introduce subsequence invariants, which characterize the behavior of a concurrent system in terms of the occurrences of synchronization events. Unlike state invariants, which re...
A growing body of work has compiled a strong case for the single-ISA heterogeneous multi-core paradigm. A single-ISA heterogeneous multi-core provides multiple, differently-design...
Niket Kumar Choudhary, Salil V. Wadhavkar, Tanmay ...
Abstract--This paper proposes a parallel hardware architecture for image feature detection based on the SIFT (Scale Invariant Feature Transform) algorithm and applied to the SLAM (...
Vanderlei Bonato, Eduardo Marques, George A. Const...
In this paper we propose a novel method for generic object localization. The method is based on modeling the object as a graph at two levels: a local substructural representation ...