SciELO - Scientific Electronic Library Online

vol.21 issue3Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural NetworkModel for Automatic Generation of Search-based Early Tests author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand




Related links

  • Have no similar articlesSimilars in SciELO


Computación y Sistemas

Print version ISSN 1405-5546


MAHDI, Walid; MEDJAHED, Seyyid Ahmed  and  OUALI, Mohammed. Performance Analysis of Simulated Annealing Cooling Schedules in the Context of Dense Image Matching. Comp. y Sist. [online]. 2017, vol.21, n.3, pp.493-501. ISSN 1405-5546.

Stochastic optimization is widely used in combinatorial computer vision problems, and many variant have been proposed. This contribution aims at analyzing and assessing several flavours of the simulated annealing algorithm. We particularly want to show the optimization performance, convergence speed, and quality of the solution with respect to the algorithm’s parameters and cooling schedules. We also verify experimentally that the S.A. algorithm is a global method i.e. it is able to lock a strong minimum regardless of the initialization. Performance evaluation is conducted in the context of stereo matching.

Keywords : Simulated annealing; dense matching; stereo matching; optimization.

        · text in English     · English ( pdf )