Computer Vision for Head Pose Estimation: Review of a Competition

Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    8 Citations (Scopus)


    This paper studies the prediction of head pose from still images, and summarizes the outcome of a recently organized competition, where the task was to predict the yaw and pitch angles of an image dataset with 2790 samples with known angles. The competition received 292 entries from 52 participants, the best ones clearly exceeding the state-of-the-art accuracy. In this paper, we present the key methodologies behind selected top methods, summarize their prediction accuracy and compare with the current state of the art.
    Original languageEnglish
    Title of host publication19th Scandinavian Conference on Image Analysis (SCIA)
    PublisherSpringer International Publishing
    Number of pages10
    ISBN (Electronic)978-3-319-19665-7
    ISBN (Print)978-3-319-19664-0
    Publication statusPublished - 9 Jun 2015
    Publication typeA4 Article in conference proceedings
    EventScandinavian Conference on Image Analysis -
    Duration: 1 Jan 1900 → …


    ConferenceScandinavian Conference on Image Analysis
    Period1/01/00 → …


    • Machine learning

    Publication forum classification

    • Publication forum level 1


    Dive into the research topics of 'Computer Vision for Head Pose Estimation: Review of a Competition'. Together they form a unique fingerprint.

    Cite this