Head pose estimation & TV Context: current technology
نویسندگان
چکیده
منابع مشابه
Monocular Head Pose Estimation
This work addresses the problem of human head pose estimation from single view images. 3D rigid head pose is estimated combining Active Appearance Models (AAM) with Pose from Orthography and Scaling with ITerations (POSIT). AAM shape landmarks are tracked over time and used in POSIT for pose estimation. A statistical anthropometric 3D model is used as reference. Several experiences were perform...
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The goal of this work is fully automatic 2D human pose estimation in unconstrained TV shows and feature films. Direct pose estimation on this uncontrolled material is often too difficult, especially when knowing nothing about the location, scale, pose, and appearance of the person, or even whether there is a person in the frame or not. We propose an approach that progressively reduces the searc...
متن کاملHead Pose Estimation in Face Recognition Across Pose Scenarios
We present a robust front-end pose classification/estimation procedure to be used in face recognition scenarios. A novel discriminative feature description that encodes underlying shape well and is insensitive to illumination and other common variations in facial appearance, such as skin colour etc., is proposed. Using such features we generate a pose similarity feature space (PSFS) that turns ...
متن کاملHead Pose Estimation on Low Resolution Images
This paper addresses the problem of estimating head pose over a wide range of angles from low-resolution images. Faces are detected using chrominance-based features. Grey-level normalized face imagettes serve as input for linear auto-associative memory. One memory is computed for each pose using a Widrow-Hoff learning rule. Head pose is classified with a winner-takes-all process. We compare res...
متن کاملFace Alignment Assisted by Head Pose Estimation
In this paper we propose supervised initialisation scheme for cascaded face alignment based on explicit head pose estimation. We first investigate the failure cases of most state of the art face alignment approaches and observe that these failures often share one common global property, i.e. the head pose variation is usually large. Inspired by this, we propose a deep convolutional network mode...
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ژورنال
عنوان ژورنال: EAI Endorsed Transactions on Creative Technologies
سال: 2015
ISSN: 2409-9708
DOI: 10.4108/ct.2.3.e2