Implementation of a real-time 3-D positioning sound synthesis algorithm for a handheld device

Author(s):  
Giwoo Park ◽  
P.S. Chanda ◽  
Tae Ik Kang
Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 15
Author(s):  
Filippo Aleotti ◽  
Giulio Zaccaroni ◽  
Luca Bartolomei ◽  
Matteo Poggi ◽  
Fabio Tosi ◽  
...  

Depth perception is paramount for tackling real-world problems, ranging from autonomous driving to consumer applications. For the latter, depth estimation from a single image would represent the most versatile solution since a standard camera is available on almost any handheld device. Nonetheless, two main issues limit the practical deployment of monocular depth estimation methods on such devices: (i) the low reliability when deployed in the wild and (ii) the resources needed to achieve real-time performance, often not compatible with low-power embedded systems. Therefore, in this paper, we deeply investigate all these issues, showing how they are both addressable by adopting appropriate network design and training strategies. Moreover, we also outline how to map the resulting networks on handheld devices to achieve real-time performance. Our thorough evaluation highlights the ability of such fast networks to generalize well to new environments, a crucial feature required to tackle the extremely varied contexts faced in real applications. Indeed, to further support this evidence, we report experimental results concerning real-time, depth-aware augmented reality and image blurring with smartphones in the wild.


2011 ◽  
Vol 30 (1) ◽  
pp. 255-260 ◽  
Author(s):  
Daniel M. Jenkins ◽  
Ryo Kubota ◽  
Jin Dong ◽  
Yong Li ◽  
Dennis Higashiguchi

2020 ◽  
Vol 68 (4) ◽  
pp. 261-272 ◽  
Author(s):  
Jake Lee ◽  
Joshua Reiss
Keyword(s):  

2007 ◽  
Vol 55 (12) ◽  
pp. 5833-5845 ◽  
Author(s):  
E. Motuk ◽  
R. Woods ◽  
S. Bilbao ◽  
J. McAllister

Natural scene text is broadly observed in our everyday life and has countless imperative multimedia applications. Natural scene text typically show signs of outsized discrepancy in font and languages but endures from low resolution, occlusions and intricate background. An android based application Smart Eye which works in offline mode is proposed here for text detection which robustly perceives the text in natural images in real time and translates the text present in image to speech which can assist people with vision disability. The spoken is also converted to text which can aid people with hearing disability.


Author(s):  
David Stothard ◽  
John Macarthur ◽  
Matthew Warden ◽  
Lorenz Butschek ◽  
Stefan Hugger ◽  
...  

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