Tampere University of Technology

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3rd Place in TUT Head Pose Estimation Challenge

Prize: Invitation or ranking in competition

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Oguzhan Gencoglu (Recipient)

Head pose estimation is to estimate the viewing angles (yaw and pitch) of human head given a facial images, which is a hot and active research topic in computer vision. Specifically, the structured output labels (i.e. yaw and pitch angles of head) in this problem are continuous discrete integers, which can be formulated into a regression or classification. We leave this as an open option for the participants. In this competition, given training data, each team will use machine learning tools to learn a model to map two-dimensional output labels from imagery features. The trained model will be tested with the provided validation data by the participants for the purpose of further improvement. In the evaluation stage, each team is required to submit the predicted results given the testing data to the website, which will be evaluated by the website automatically.
Awarded date19 Sep 2014
Awarded at eventKaggle-In-Class Machine Learning Competition - TUT Head Pose Estimation Challenge

ID: 12658064