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Search results with tag "Object recognition"

Chapter 15 Object Recognition - USF

www.cse.usf.edu

Chapter 15 . Object Recognition . An object recognition system finds objects in the real world from an image of the world, using object models which are known a priori.

  Chapter, Recognition, Object, Chapter 15, Chapter 15 object recognition, Object recognition

Selective Search for Object Recognition

staff.fnwi.uva.nl

Hence without prior recognition it is hard to decide that a face and a sweater are part of one object ( Tu et al. 2005). This has led to the opposite of the traditional approach: to do localisation through the identification of an object. This recent approach in object recognition has made enor-mousprogressinlessthanadecade(DalalandTriggs2005;

  Recognition, Object, Object recognition, For object recognition

Deep Learning for Generic Object Detection: A Survey

link.springer.com

12 Visual object recognition Grauman and Leibe (2011) 2011 Tutorial Instance and category object recognition techniques 13 Object class detection: a survey Zhang et al. (2013) 2013 ACM CS Survey of generic object detection methods before 2011 14 Feature representation for

  Technique, Recognition, Object, Object recognition, Object recognition techniques

Real-time doors and windows recognition in OpenCV using ...

web.cecs.pdx.edu

Real-time doors and windows recognition in OpenCV using SURF for a guiding ROBOT 1 . Object recognition– in. computer vision, this is the task of finding a given object (door

  Using, Time, Windows, Doors, Recognition, Object, Opencv, Object recognition, Time doors and windows recognition in opencv using

ImageNet Large Scale Visual Recognition Challenge

arxiv.org

ation of object recognition algorithms and in developing new techniques. Novel algorithmic innovations emerge with the availability of large-scale training data. The broad spectrum of object categories motivated the need for algorithms that are even able to distinguish classes which are visually very similar. We highlight the most

  Large, Scale, Technique, Visual, Recognition, Object, Imagenet, Object recognition, Imagenet large scale visual recognition

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