Combining Stereovision Matching Constraints for Solving the Correspondence Problem
Gonzalo Pájares, Pedro Javier, Jess M. de la Cruz · InTech eBooks · 2011
hierarchical approaches (Wei & Quan, 2004) where firstly edges or corners are matched and afterwards the regions.The stereovision system geometry is another issue concerning the application of methods and constraints.Conventional stereovision systems consist of two cameras under perspective projection with the optical axes in parallel (Scharstein & Szeliski, 2002) or in convergence (Krotkov, 1990); they have a limited field of view.In opposite, the omnidirectional stereovision systems allow enhancing the field of view, under this category fall the systems in which the optics and consequently the image projection is based on fish-eye lenses (Abraham & Förstner, 2005;Schwalbe, 2005; Herrera et al., 2009a,b,c,d;Herrera, 2010).Depending on the application for which the stereovision system is to be designed one must choose either area-based or feature-based, the system geometry and also the strategy for combining the different constraints.In this chapter we focus the attention on the combination of the matching constraints.As features we use area-based when the pixels are the basic elements to be matched and also feature-based with straight line segments and regions.Moreover, both area-based and feature-based are used in conventional and omnidirectional stereovision systems with parallel optical axes.The main contribution of this work is the design of a general scheme with three approaches for combining the matching constraints.The aim is to solve different stereovision correspondence problems.The chapter is organised as follows.In section 2 we give details about the three approaches for combining the matching constraints.In sections 3, 4 and 5 these approaches are explained giving details about their application with different features and optical projections.Finally, in section 6 some conclusions are provided.