Results 211 to 220 of about 937,044 (241)
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Dynamic footprint analysis by time-of-flight camera
Computer Methods in Biomechanics and Biomedical Engineering, 2012Dynamic pedobarograph measurement is commonly used to evaluate the roll-over process of the foot. Plantar pressure plates, insole sensors or single transducer systems are the most popular devices to analyze dynamic footprint [1]. Notably with the last works of Pataky [2-4], plantar pressure analyses were improved. Nevertheless, the systems available to
Laurence Cheze +2 more
exaly +5 more sources
Research on search probability and camera footprint of region coverage for UAVs
2009 IEEE International Conference on Control and Automation, 2009This paper investigates the search probability and camera footprint of region coverage for UAVs. Two kinds of search probability by using the UAV camera are proposed. Moreover, the relationship between the UAV altitude and the camera footprint is also studied in this paper.
Hai Chen +3 more
exaly +3 more sources
The Cinematic Footprint: Lights, Camera, Natural Resources
ISLE Interdisciplinary Studies in Literature and Environment, 2012Salma Mônani
exaly +4 more sources
Edge Intelligence for Rendering Green Camera-Network-as-a-Service
IEEE Transactions on Green Communications and Networking, 2022This work proposes the Green Camera-Network-as-a-Service (G-CNaaS) architecture, which provides on-demand camera networks to multiple end-users simultaneously while utilizing minimal energy.
Ningombam Anandshree Singh +2 more
exaly +2 more sources
The Cinematic Footprint: Lights, Camera, Natural Resources by Nadia Bozak (review)
Technology and Culture, 2013exaly +2 more sources
MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception
IEEE International Conference on Computer Vision, 2022This paper proposes an efficient multi-camera to Bird’s-Eye-View (BEV) view transformation method for 3D perception, dubbed MatrixVT. Existing view transformers either suffer from poor efficiency or rely on device-specific operators, hindering the broad ...
Hongyu Zhou +3 more
semanticscholar +1 more source
ACM Symposium on Applied Computing, 2023
Recent advances in the field of Artificial Intelligence (AI) have enabled a vast variety of innovative digital services. Mobile smart devices usually resort to the cloud to run deep neural networks (DNN) due to insufficient computational power or severe ...
P. Silva, Rui P. Rocha
semanticscholar +1 more source
Recent advances in the field of Artificial Intelligence (AI) have enabled a vast variety of innovative digital services. Mobile smart devices usually resort to the cloud to run deep neural networks (DNN) due to insufficient computational power or severe ...
P. Silva, Rui P. Rocha
semanticscholar +1 more source
Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design
ACM Transactions on Graphics, 2021Most modern commodity imaging systems we use directly for photography—or indirectly rely on for downstream applications—employ optical systems of multiple lenses that must balance deviations from perfect optics, manufacturing constraints, tolerances ...
Ethan Tseng +9 more
semanticscholar +1 more source
Source camera identification using footprints from lens aberration
SPIE Proceedings, 2006Source camera identification is the process of discerning which camera has been used to capture a particular image. In this paper, we consider the more fundamental problem of trying to classify images captured by a limited number of camera models.
Kai San Choi +2 more
openaire +2 more sources
IEEE International Conference on Computer Vision, 2022
Convolutional neural network inference on video input is computationally expensive and requires high memory bandwidth. Recently, DeltaCNN [26] managed to reduce the cost by only processing pixels with significant updates over the previous frame. However,
Mathias Parger +5 more
semanticscholar +1 more source
Convolutional neural network inference on video input is computationally expensive and requires high memory bandwidth. Recently, DeltaCNN [26] managed to reduce the cost by only processing pixels with significant updates over the previous frame. However,
Mathias Parger +5 more
semanticscholar +1 more source