abstract = "The efforts spent on the development of assistive
technologies has led researches to explore many
existing techniques as computer vision, image
processing, etc. and apply them as embedded solutions
to help people with several types of disabilities,
including visual impairment. Embedded navigation
systems for visually impaired people (VIP) often use
RGB-D cameras to retrieve depth information from
surroundings and present them as gray images with depth
represented by gray level or black pixels if depth
couldn't be estimated, which can be fixed by
mathematical morphology. Morphological filters must be
efficient to solve the problem and fast to avoid impact
on performance. This paper presents an approach for
automatic generation and optimization of low complexity
and low error morphological filters to fix depth
image's unknown distances based on NSGA-II and
Cartesian Genetic Programming. Experiments were
performed using two different error metrics and results
showed that the presented approach managed to generate
and optimize feasible morphological filters that fit
within embedded navigation systems for VIP.",
notes = "Insituto Federal de Sao Paulo, Sao Paulo, Brazil
http://lattes.cnpq.br/3462738422154588