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Sparse Linear Operator identification without sparse regularization? Applications to mixed pixel problem in Time-of-Flight/Range imaging
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Our work addresses a problem of industrial significance: decomposition of mixed-pixels in Time-of-Flight/Range imaging. ...
In this paper, we consider the problem of Sparse Linear Operator identification which is also linked with the topic of Sparse Deconvolution. ...
Sparse Linear Operator Identification without Sparse Regularization: Forward Model and Solution to Inverse Problem Consider a probing function p ∈ BΩ which is T -periodic. ...
doi:10.1109/icassp.2014.6853619
dblp:conf/icassp/BhandariKR14
fatcat:z6h2mt3yqbd5pev55kmszbmk3y
Depth recovery in time of flight range sensors via compressed sensing algorithm
2020
International Journal of Intelligent Robotics and Applications
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However, it faces multipath interference (MPI) problems that give rise to an error in radiance information. ...
The modification in the algorithm has increased its robustness and proved to be successful in detecting the interference up to two paths successfully. ...
The scene response is sparse in nature; hence, a sparse regularization is applied to recover the signal. Sparse Approximation is related to the term sparse vector. ...
doi:10.1007/s41315-020-00130-7
fatcat:cpwdrk2nqzb2pd4vwsk27i7axu
3-D Time-Varying Scene Capture Technologies—A Survey
2007
IEEE transactions on circuits and systems for video technology (Print)
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Advances in image sensors and evolution of digital computation is a strong stimulus for development and implementation of sophisticated methods for capturing, processing and analysis of 3-D data from dynamic ...
Apart from all of these approaches, there also are some active imaging devices capable of 3-D extraction such as the 3-D time-of-flight camera, which provides 3-D image data of its environment by means ...
Finally, the principle and some basic issues of time-of-flight range imaging systems are outlined in Section VI. ...
doi:10.1109/tcsvt.2007.909975
fatcat:fcawg5r2cbdynbufjedu2mda3a
Location Systems: An Introduction to the Technology Behind Location Awareness
2008
Synthesis Lectures on Mobile and Pervasive Computing
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applications to permeate all aspects of everyday life. ...
ABSTRACT Advances in electronic location technology and the coming of age of mobile computing have opened the door for location-aware applications to permeate all aspects of everyday life. ...
While time-of-flight ranging has been proposed as a way to locate 802.11 clients, this approach has two factors working against it. ...
doi:10.2200/s00115ed1v01y200804mpc004
fatcat:cbvw7weeibhxjnbwnp4y4mat3m
Evaluation of LIDAR and Photogrammetric Elevation Data for Feature-based Forest Analyses
[article]
2016
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The roughness parameters used in the production industry are implemented to extract the surface characteristics of mixed-forests. ...
In the represented research neither the spectral information of the images nor the intensity values of the LIDAR data are used. ...
Acknowledgements This work would never have been completed without the help of several individuals and institutes. I would like to thank them all, although I feel that words fall short in this regard. ...
doi:10.17169/refubium-17690
fatcat:o447hdj7hffenndjbs4zyp7cwq
Experimental data acquisition and modeling of three-dimensional deformable objects using neural networks
2013
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A feedforward neural network is then employed to capture the complex relationship between an applied force, its magnitude, its angle of application and its point of interaction, the object pose and the ...
It also offers the desired degree of control to the user. ...
measure properties such as friction and stiffness and to make controlled impacts to generate sounds, and a time-of-flight range finder. ...
doi:10.20381/ruor-19953
fatcat:cbwf4kl7tnhyxl5q2sdrmdu7cq
Aalborg Universitet Vision-Based 2D and 3D Human Activity Recognition Holte, Michael Boelstoft Vision-Based 2D and 3D Human Activity Recognition
2011
unpublished
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problem in computer vision. ...
For acquisition of 3D data both direct 3D imaging devices (ToF range cameras) and 3D reconstruction from multiple camera views are applied, to explore challenges of different quality of 3D data and the ...
Intelligent driver assistance systems Looking at driver is a key part required in a holistic approach for intelligent driver assistance systems [50]. ...
fatcat:bwpsbzse6zhohpxcj2i7vevgwm
Spectral Approaches to Learning Predictive Representations
2018
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A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. ...
To address this gap, we propose spectral subspace identification algorithms which provably learn compact, accurate, predictive models of partially observable dynamical systems directly from sequences of ...
We conclude in Section 10.4 by comparing spectral SLAM to other popular methods for range-only SLAM on real world range data collected from an autonomous lawnmower with time-of-flight ranging radios. ...
doi:10.1184/r1/6723110
fatcat:pcwe2n7xi5ft7o32iy5xbyr6ie
Sensors, Robotics and Artificial Intelligence in Precision Orchard Management (POM)
2019
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Robots are taking on many tasks in agriculture nowadays, including planting greenhouse crops, harvesting apples, pruning vineyards and/or plant health monitoring. ...
Precision agriculture refers to the way farmers manage crops to ensure efficiency of inputs such as water and fertilizer, and to maximize productivity, quality, and yield as well minimizing pests, unwanted ...
Well, I will try not to be that robotic, and this is definitely no template (even chose different fonts for this). ...
doi:10.48676/unibo/amsdottorato/8980
fatcat:7box2vnjijgufk6l4k7nreqbai