Implementing cascaded regression tree-based face landmarking: An in-depth overview

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Face landmarking, defined as the detection of fiducial points on faces, has received a lot of attention over the last two decades within the computer vision community. While research literature documents major advances using state-of-art deep convolutional neural networks, earlier cascaded regression tree-based approaches remain a relevant alternative for low-cost, low-power embedded systems. Yet, from a practical point of view, their implementation and parametrization can be a difficult and tedious process. In this paper, we provide the readers with insights and advice on how to design a successful face landmarking system using a cascade of regression trees.

论文关键词:Face landmarking,Cascaded regression,Regression trees,Temporal tracking

论文评审过程:Received 16 April 2019, Revised 26 September 2019, Accepted 29 June 2020, Available online 12 July 2020, Version of Record 20 July 2020.

论文官网地址:https://doi.org/10.1016/j.imavis.2020.103976