Feature representation for statistical-learning-based object detection: A review
Statistical-learning-based object detection is an important topic in computer vision. It learns
visual representation from annotated exemplars to identify semantic defined objects in …
visual representation from annotated exemplars to identify semantic defined objects in …
Fruit detection in natural environment using partial shape matching and probabilistic Hough transform
G Lin, Y Tang, X Zou, J Cheng, J **.pdf" data-clk="hl=ar&sa=T&oi=gga&ct=gga&cd=8&d=4291888410610500240&ei=V_ytZ_ONKoqy6rQPl5KnWA" data-clk-atid="kAIOIsXZjzsJ" target="_blank">[PDF] csic.es
Bootstrap** boosted random ferns for discriminative and efficient object classification
In this paper we show that the performance of binary classifiers based on Boosted Random
Ferns can be significantly improved by appropriately bootstrap** the training step. This …
Ferns can be significantly improved by appropriately bootstrap** the training step. This …
Local part chamfer matching for shape-based object detection
Chamfer matching is one of the elegant and powerful tools for shape-based detection in
cluttered images. However, the chamfer matching methods, including oriented chamfer …
cluttered images. However, the chamfer matching methods, including oriented chamfer …