In this paper, we introduce visual contexts in terms of types and utilization methods for
robust object recognition with intelligent mobile robots. One of the core technologies for intelligent
robots is visual object recognition. Robust techniques are strongly required since there are many sources
of visual variations such as geometric, photometric, and noise. For such requirements, we define spatial
context, hierarchical context, and temporal context. According to object recognition domain, we can
select such visual contexts. We also propose a unified framework which can utilize the whole contexts
and validates it in real working environment. Finally, we also discuss the future research directions of
object recognition technologies for intelligent robots.
robust object recognition with intelligent mobile robots. One of the core technologies for intelligent
robots is visual object recognition. Robust techniques are strongly required since there are many sources
of visual variations such as geometric, photometric, and noise. For such requirements, we define spatial
context, hierarchical context, and temporal context. According to object recognition domain, we can
select such visual contexts. We also propose a unified framework which can utilize the whole contexts
and validates it in real working environment. Finally, we also discuss the future research directions of
object recognition technologies for intelligent robots.