A review on knowledge-based computer vision

In this study we review the area of Knowledge-Based Computer Vision (KBCV), putting in focus its knowledge representation aspects, starting from the year 2000. We introduce the topic by reviewing what researchers during the 1990’s saw as the future path to be taken and how these influenced recent contributions. We then proceed analysing the contributions in visual knowledge representation. We divide the analysis in the what part and in the how part. In the what part, we discuss the reviewed contributions under the light of different types of knowledge necessary for KBVC. In the how part, we discuss contributions in how this knowledge can be represented and structured, regarding representation formalism, model structure and symbol grounding. We also review full approaches for KBVC concerning their application domain. We conclude by exploring some alternatives for future research.