This chapter develops a general Vision Metrics Taxonomy for feature description, so as to collect summary descriptor attributes for high-level analysis. The taxonomy includes a set of general robustness criteria for feature description and ground truth datasets. The material presented and discussed in this book follows and reflects this taxonomy. By developing a standard vocabulary in the taxonomy, terms and techniques are intended to be consistently communicated and better understood. The taxonomy is used in the survey of feature descriptor methods in Chap. 6 to record “what” practitioners are doing.
CITATION STYLE
Krig, S. (2016). Taxonomy of Feature Description Attributes. In Computer Vision Metrics (pp. 167–186). Springer International Publishing. https://doi.org/10.1007/978-3-319-33762-3_5
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