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1. 1. Channel-Coded Feature Maps for Computer Vision and Machine Learning

   Författare :Erik Jonsson; Michael Felsberg; Florentin Wörgötter; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer vision; machine learning; object recognition; pose estimation; Image analysis; Bildanalys;

   Sammanfattning : This thesis is about channel-coded feature maps applied in view-based object recognition, tracking, and machine learning. A channel-coded feature map is a soft histogram of joint spatial pixel positions and image feature values. Typical useful features include local orientation and color. LÄS MER