Browsing by Subject "Object detection"
Now showing items 9-14 of 14
(Universitat Politècnica de Catalunya, 2015-02-20)
Open AccessLocal features have become an essential tool in visual recognition. Much of the progress in computer vision over the past decade has built on simple, local representations such as SIFT or HOG. SIFT in particular shifted ...
(IOS Press, 2017-11-23)
Part of book or chapter of book
Restricted access - publisher's policyDeep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ...
(IEEE Computer Society Publications, 2013)
Open AccessThis paper tackles the supervised evaluation of image segmentation algorithms. First, it surveys and structures the measures used to compare the segmentation results with a ground truth database, and proposes a new measure: ...
(Universitat Politècnica de Catalunya, 2017-05-23)
Covenantee: KTH - School of Electrical EngineeringMultitask Learning (MTL) was conceived as an approach to improve the generalization ability of machine learning models. When applied to neural networks, multitask models take advantage of sharing resources for reducing the ...
(Institute of Electrical and Electronics Engineers (IEEE), 2012)
Restricted access - publisher's policyIn this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. The BPT representation defines a search space for constructing a robust object identification ...
Region-based face detection, segmentation and tracking. framework definition and application to other objects (Universitat Politècnica de Catalunya, 2010-12-17)
Open AccessOne of the central problems in computer vision is the automatic recognition of object classes. In particular, the detection of the class of human faces is a problem that generates special interest due to the large number ...