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所级讲座:2016年5月19日,14:00,南楼5层会议室(共2场)
作者: 科研业务处 ║ 日期: 2016/05/11 

Talk1: 

Face Analysis for Intelligent Human-computer Interaction

Speaker: Prof. Matti Pietikäinen
     Center for Machine Vision and Signal Analysis,
     University of Oulu, Finland
 
Time: 14:00-14:45pm
Date: May 19(Thu.)
Venue: 心理所南楼5层会议室
Abstract:
Computer vision will play an important role in future human-computer interactions (HCI). In order to achieve natural HCI, there is a need for the computer to be able to interact with the user similar to the way human-human interaction takes place. The computer should, for example, detect and identify the user, recognize his or her emotional state, communicate easily by recognizing speech and gestures, and provide a natural response based on its observations. In recent years, we have been investigating various methods needed for intelligent face to face interaction. This talk provides an introduction to vision-based perceptual interfaces, and overviews our recent progress in face recognition and biometrics, recognition of facial expressions and emotions, remote heart rate measurement from videos, recognition of spoken phrases from visual speech, visual speech animation from video sequences, and face analysis for wearable smart glasses. Results of our research with experimental systems for face analysis and intelligent human-robot interaction are also demonstrated. Finally, future challenges for research are briefly discussed. 

Talk2: 

3D vision and biomedical image analysis

Speaker: Prof. Janne Heikkilä
     Center for Machine Vision and Signal Analysis,
     University of Oulu, Finland
Time: 15:00-15:30pm
Date: May 19(Thu.)
Venue: 心理所南楼5层会议室
Abstract:
Three-dimensional scene reconstruction and analysis from image data has been a fundamental research problem in computer vision for several decades. It provides a basis for many applications including robot vision, 3D modeling, augmented reality, 3D television, and human-computer interaction. 3D vision has been one of our long-term research topics, and it has resulted in, for example, several methods for geometric camera calibration and image-based 3D reconstruction. In recent years, we have also investigated computer vision-based approaches for analysis of biomedical images where the key research problems include cell detection, segmentation and tracking from time-lapse sequences produced with different microscopy imaging techniques in 2D and 3D. This talk gives a brief introduction to the related research problems and our recent findings in both these areas. 

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