Multi-Modal Perception for Selective Rendering
نویسندگان
چکیده
منابع مشابه
Acoustic Rendering and Auditory-Visual Cross-Modal Perception and Interaction
In recent years research in the 3-Dimensional sound generation field has been primarily focussed upon new applications of spatialised sound. In the computer graphics community the use of such techniques is most commonly found being applied to virtual, immersive environments. However, the field is more varied and diverse than this and other research tackles the problem in a more complete, and co...
متن کاملThe multi-modal nature of trustworthiness perception
Most past work on trustworthiness perception has focused on the structural features of the human face. The present study investigates the interplay of dynamic information from two channels – the face and the voice. By systematically varying the level of trustworthiness in each channel, 49 participants were presented with either facial or vocal information, or the combination of both, and made e...
متن کاملMulti-Modal Active Perception for Information Gathering in Science Missions
Robotic science missions in remote environments, such as deep ocean and outer space, can involve studying phenomena that cannot directly be observed using on-board sensors but must be deduced by combining measurements of correlated variables with domain knowledge. Traditionally, in such missions, robots passively gather data along prescribed paths, while inference, path planning, and other high...
متن کاملUser perception of multi-modal interfaces for mobile applications
This paper presents a comparative study on the usability of a service presented in telephone, PC-based web interface, and mobile/ multi-modal variants. The goal is not to analyze individual strengths and weaknesses of the different modalities, but to understand the user’s perception of the SUMI criteria (efficiency, affect/ likability, helpfulness, control, learnability), and the overall impres...
متن کاملEnd-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception
Convolutional Neural Networks (CNN) have been successfully applied to autonomous driving tasks, many in an endto-end manner. Previous end-to-end steering control methods take an image or an image sequence as the input and directly predict the steering angle with CNN. Although single task learning on steering angles has reported good performances, the steering angle alone is not sufficient for v...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Graphics Forum
سال: 2016
ISSN: 0167-7055
DOI: 10.1111/cgf.12793