An effective and efficient approximate two-dimensional dynamic programming algorithm for supporting advanced computer vision applications. (October 2017)

• Record Type: Journal Article
• Authors: Cuzzocrea, Alfredo; Mumolo, Enzo; Grasso, Giorgio Mario; Vercelli, Gianni
• Is Part Of: Journal of visual languages & computing. Volume 42(2017)
• Page Start: 13
• Page End: 22
• Publication Date: 2017-10
• Subjects: Two-dimensional dynamic programming -- CUDA platform -- Computer vision -- Intelligent systems; Visual programming languages (Computer science) -- Periodicals; Visual programming (Computer science) -- Periodicals; Programming languages (Electronic computers) -- Semantics -- Periodicals; Langages de programmation visuelle -- Périodiques; Programmation visuelle -- Périodiques; Langages de programmation -- Sémantique -- Périodiques; Programming languages (Electronic computers) -- Semantics; Visual programming (Computer science); Visual programming languages (Computer science); Periodicals; Electronic journals; 005
• DOI: 10.1016/j.jvlc.2017.07.002
• Languages: English
• ISSNs: 1045-926X

Abstract

Abstract: Dynamic programming is a popular optimization technique, developed in the 60's and still widely used today in several fields for its ability to find global optimum. Dynamic Programming Algorithms (DPAs) can be developed in many dimension. However, it is known that if the DPA dimension is greater or equal to two, the algorithm is an NP complete problem. In this paper we present an approximation of the fully two-dimensional DPA (2D-DPA) with polynomial complexity. Then, we describe an implementation of the algorithm on a recent parallel device based on CUDA architecture. We show that our parallel implementation presents a speed-up of about 25 with respect to a sequential implementation on an Intel I7 CPU. In particular, our system allows a speed of about ten 2D-DPA executions per second for 85 × 85 pixels images. Experiments and case studies support our thesis.