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Now showing items 21-26 of 26
Gaze Visual - A graphical software tool for performance evaluation of eye gaze estimation systems
(Institute of Electrical and Electronics Engineers, 2018-08-15)
The concept of an open source software developed for all round performance evaluation of gaze tracking systems is presented. The capabilities of this software towards quantitative, statistical and visual analysis of gaze ...
Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms
(Institute of Electrical and Electronics Engineers, 2017-01-08)
The real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for such a system through combining an improved advanced random walk ...
A review of resolution losses for AR/VR foveated imaging applications
(Institute of Electrical and Electronics Engineers, 2018-08-15)
Foveated imaging is of great interest for Augmented and Virtual Reality applications. The resolution losses off-axis simulated in foveated imaging are modelled using cone density on the retina. This article reviews the ...
Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods
(Institute of Electrical and Electronics Engineers, 2017-01-08)
By growing the capacity and processing power of the handheld devices nowadays, a wide range of capabilities can be implemented in these devices to make them more intelligent and user friendly. Determining the mood of the ...
Synthesizing game audio using deep neural networks
(Institute of Electrical and Electronics Engineers, 2018-08-15)
High quality audio plays an important role in gaming, contributing to player immersion during gameplay. Creating audio content which matches overall theme and aesthetic is essential, such that players can become fully ...
Deep learning for hand segmentation in complex backgrounds
(Institute of Electrical and Electronics Engineers, 2018-01-02)
This paper presents a Deep Learning segmentation approach for hand segmentation in gray level images with cluttered backgrounds where standard techniques cannot be used. Two networks were trained with a database of hand ...