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SocialSync: Sub-Frame Synchronization in a Smartphone Camera Network [chapter]

Richard Latimer, Jason Holloway, Ashok Veeraraghavan, Ashutosh Sabharwal
2015 Lecture Notes in Computer Science  
Currently, smartphone camera networks are limited to capturing static scenes due to motion artifacts caused by frame misalignment.  ...  By synchronizing image captures to within a frame period, multiple smartphone cameras, which are often in use in social settings, can be used for a variety of applications including light field capture  ...  Acknowledgments: We would like to thank the LF4CV reviewers and Robert LiKamWa for useful discussions regarding this work.  ... 
doi:10.1007/978-3-319-16181-5_43 fatcat:tsbxyehelnekvllnm4xpx5teye

Reliability of Measuring Leg Segments and Joint Angles Using Smartphones during Aquatic Exercise

Dae Hee Lee, Seulki Han
2022 Healthcare Informatics Research  
can be used to reliably measure leg segments and joint angles during aquatic gait, providing a simpler method for obtaining these measurements and enabling the wider use of aquatic motion analysis in  ...  range of motion (ROM) (first 46.79° ± 5.50°, second 50.12° ± 9.98°, ICC = 0.78).  ...  While some therapy pools are equipped with a system to control water depth, most of these facilities are not large enough for seven gait cycles and require expensive equipment, such as an underwater treadmill  ... 
doi:10.4258/hir.2022.28.1.95 pmid:35172095 pmcid:PMC8850177 fatcat:ct6vgcp3brhi7b7p4mi2yzcura

Semi-dense visual odometry for AR on a smartphone

Thomas Schops, Jakob Engel, Daniel Cremers
2014 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)  
We show how a simple world model for AR applications can be derived from semi-dense depth maps, and demonstrate the practical applicability in the context of an AR application in which simulated objects  ...  Figure 1 : From left to right: AR demo application with simulated car. Corresponding estimated semi-dense depth map. Estimated dense collision mesh, fixed and shown from a different perspective.  ...  Following this, we show how collision meshes are computed from the semi-dense depth map in Sec. 3, and how they are used in a simple AR application.  ... 
doi:10.1109/ismar.2014.6948420 dblp:conf/ismar/SchopsEC14 fatcat:55wtg7fpvvfzrm76djxoy53lvq

Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels [article]

Abdullah Abuolaim and Mahmoud Afifi and Michael S. Brown
2021 arXiv   pre-print
In addition, many applications now incorporate a new image motion attribute (NIMAT) to emulate background motion, where the motion is correlated with estimated depth at each pixel.  ...  Portrait mode is widely available on smartphone cameras to provide an enhanced photographic experience.  ...  The image, depth map, and segmentation mask are taken from the dataset in [26].  ... 
arXiv:2111.07837v1 fatcat:rmlnzc7jdjho5oxmjpopgi75jy

Image Deblurring Using Smartphone Inertial Sensors

Zhe Hu, Lu Yuan, Stephen Lin, Ming-Hsuan Yang
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
While this approach has been effective for highquality inertial sensors, it has been infeasible for the inertial sensors in smartphones, which are of relatively low quality and present a number of challenging  ...  A recent approach to address this problem is to record camera motion through inertial sensors, i.e., gyroscopes and accelerometers, and then reconstruct spatially-variant PSFs from these readings.  ...  However, the inertial sensors in smartphones are far from ideal, as they are designed for tasks such as gaming that do not require high-level accuracy.  ... 
doi:10.1109/cvpr.2016.205 dblp:conf/cvpr/HuYL016 fatcat:ifxzneidhnhwvdcfqoeb2tghdy

Towards remote assessment and screening of acute abdominal pain using only a smartphone with native accelerometers

David R. Myers, Alexander Weiss, Margo R. Rollins, Wilbur A. Lam
2017 Scientific Reports  
Leveraging only a smartphone with its native accelerometers, our system guides a patient through an exact probing motion that precisely matches the palpation motion set by the physician.  ...  Smartphone-based telehealth holds the promise of shifting healthcare from the clinic to the home, but the inability for clinicians to conduct remote palpation, or touching, a key component of the physical  ...  D.R.M. would like to acknowledge C.R.D. and G.A.K. for helpful discussions.  ... 
doi:10.1038/s41598-017-13076-x pmid:28986551 pmcid:PMC5630621 fatcat:veghe7oy7zaf5ja6c2sludoflu

iPhone 4s Photoplethysmography: Which Light Color Yields the Most Accurate Heart Rate and Normalized Pulse Volume Using the iPhysioMeter Application in the Presence of Motion Artifact?

Kenta Matsumura, Peter Rolfe, Jihyoung Lee, Takehiro Yamakoshi, Derek Abbott
2014 PLoS ONE  
These findings suggest that green is the most suitable color for measuring HR and NPV from the reflection mode photoplethysmogram under motion artifact conditions.  ...  Further, it is known that the wavelength of light used for PPG influences the photon penetration depth and we therefore hypothesized that influences of motion artifact could be wavelength-dependant.  ...  Acknowledgments The authors give special thanks to Ken-ichi Yamakoshi, Kanazawa University, for his helpful comments on this work.  ... 
doi:10.1371/journal.pone.0091205 pmid:24618594 pmcid:PMC3949790 fatcat:emtn7kmmebeuxfbcab23m2butu

SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis [article]

Anastasiia Kornilova, Marsel Faizullin, Konstantin Pakulev, Andrey Sadkov, Denis Kukushkin, Azat Akhmetyanov, Timur Akhtyamov, Hekmat Taherinejad, Gonzalo Ferrer
2022 arXiv   pre-print
For evaluation purposes, we compare multiple state-of-the-art camera alignment methods by using a Motion Capture system.  ...  The sensors employed in data collection are the smartphone's camera and Inertial Measurement Unit (IMU), and an external Azure Kinect DK depth camera software synchronized with sub-millisecond precision  ...  The high-quality external depth camera is chosen instead of the smartphone with a built-in sensor as (i) the modern smartphone depth images are still not as high-quality as external depth sensors, and  ... 
arXiv:2204.10211v1 fatcat:xhoq4mp4wvfyjhwdw3u6xvhz7u

Poster: Creating a user-specific perspective view for mobile mixed reality systems on smartphones

Yuki Matsuda, Fumihisa Shibata, Asako Kimura, Hideyuki Tamura
2013 2013 IEEE Symposium on 3D User Interfaces (3DUI)  
In general, most common mainstream interface for a hand-held AR/MR system is video-see-through style with a deviceperspective view.  ...  We propose a method for creating a user-specific perspective view for mobile mixed reality (MR) systems that provides threedimensional perception based on pseudo motion parallax.  ...  Geometrically correct user-perspective rendering for AR/MR systems could become a powerful depth cue for understanding three-dimensional structure of AR/MR world because it provides motion parallax.  ... 
doi:10.1109/3dui.2013.6550226 dblp:conf/3dui/MatsudaSKT13 fatcat:grlvmlif2jar7f3toouolziz5u

Towards a Professional Gesture Recognition with RGB-D from Smartphone

Pablo Vicente Monivar, Sotiris Manitsaris, Alina Glushkova
2020 Zenodo  
The goal of this work is to build the basis for a smartphone application that provides functionalities for recording human motion data, train machine learning algorithms and recognize professional gestures  ...  Then, a bottom-up pose estimation algorithm based on Deep Learning extracts the 2D human skeleton and exports the 3rd dimension using the depth.  ...  We acknowledge also the Arelik factory and the Museum Haus der Seidenkultur for providing as with the use-cases as well as the Foundation for Research and Technology Hellas for contributing to the motion  ... 
doi:10.5281/zenodo.3732961 fatcat:ogyignilu5d2zh3mel5wxazdga

Space-Variant Image Deblurring on Smartphones Using Inertial Sensors

Ondrej Sindelar, Filip Sroubek, Peyman Milanfar
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
In this demo system, we use rotational inertial sensors (gyroscopes) to detect the motion trajectory of the camera during exposure and then use it as a base for removing blur from the acquired photographs  ...  The demo is a close-to-real-time deblurring technology, implemented on an Android smartphone.  ...  Fig. 1 . 1 The block diagram of the smartphone application: During camera exposure, the application records data from the built-in gyroscopes. The data are processed and blurs are estimated.  ... 
doi:10.1109/cvprw.2014.34 dblp:conf/cvpr/SindelarSM14 fatcat:mzr7vljohnbxfiqzby5hrrv2pa

Extension of Smartphone by Wearable Input/Output Interface with Floor Projection [chapter]

Nobuchika Sakata, Fumihiro Sato, Tomu Tominaga, Yoshinori Hijikata
2017 Lecture Notes in Computer Science  
We obtained feedback of using the smartphone and WIIFP. The combination of the smartphone and WIIFP was found to be suitable for multi-tasking and multi-users.  ...  In this paper, we propose an extension of smartphones with a wearable input/output interface with floor projection (WIIFP). WIIFP has advantages in comparison with smartphones.  ...  Fig. 3 . 3 WIIFP configuration Fig. 4 . 4 Motion for transferring from smartphone to WIIFP; a. Transferring all objects; b.  ... 
doi:10.1007/978-3-319-63088-5_15 fatcat:4jmczbps3rdg3ijdjhplkms3xy

Computer Vision for 3D Perception and Applications

Matteo Poggi, Thomas B. Moeslund
2021 Sensors  
Effective 3D perception of an observed scene greatly enriches the knowledge about the surrounding environment and is crucial to effectively develop high-level applications for various purposes [...]  ...  and the editors and assistants of Sensors for their kind help and support.  ...  Acknowledgments: The guest editors of this Special Issue would like to thank all authors who submitted their manuscripts for consideration, the reviewers for their hard work during the review process,  ... 
doi:10.3390/s21123944 fatcat:4izmrcykunegddzd74xneyxzti

A smartphone application for removing handshake blur and compensating rolling shutter

Ondfej Sindelar, Filip Sroubek, Peyman Milanfar
2014 2014 IEEE International Conference on Image Processing (ICIP)  
Smartphones are now widely used as photographic devices.  ...  We use built-in gyroscopes to record the motion trajectory of the camera during exposure and then remove blur from the acquired photograph based on the reconstructed trajectory.  ...  The block diagram of the smartphone application: During camera exposure, the application records data from the built-in gyroscopes. The data are processed and blurs are estimated.  ... 
doi:10.1109/icip.2014.7025433 dblp:conf/icip/SindelarSM14 fatcat:7ccw2hl5encv3hfhqbdrgyzioy

Image deblurring using inertial measurement sensors

Neel Joshi, Sing Bing Kang, C. Lawrence Zitnick, Richard Szeliski
2010 ACM Transactions on Graphics  
In this demo system, we use rotational inertial sensors (gyroscopes) to detect the motion trajectory of the camera during exposure and then use it as a base for removing blur from the acquired photographs  ...  The demo is a close-to-real-time deblurring technology, implemented on an Android smartphone.  ...  Fig. 1 . 1 The block diagram of the smartphone application: During camera exposure, the application records data from the built-in gyroscopes. The data are processed and blurs are estimated.  ... 
doi:10.1145/1833351.1778767 fatcat:kjhsi6tgdrennja2uta3a7jpmy
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