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Peter Fasogbon
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2020 – today
- 2023
- [c12]Lauri Ilola, Sudarshan Bisht, Ugurcan Budak, Peter Fasogbon, Jaakko Keränen, Lukasz Kondrad:
Real-time Delivery of Visual Volumetric Video-based Coding Data. ISM 2023: 52-56 - 2022
- [c11]Peter Fasogbon, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Emre Aksu:
TMD: Transformed Mesh Decoder for Mesh Animation. ICPR 2022: 3829-3836 - 2021
- [c10]Yu You, Peter Fasogbon, Emre Aksu:
NBMP Standard Use Case: 3D Human Reconstruction Workflow. VCIP 2021: 1 - 2020
- [c9]Peter Fasogbon, Yu You, Emre Aksu:
3D human model creation on a serverless environment. ISMAR Adjunct 2020: 118-122
2010 – 2019
- 2019
- [c8]Peter Fasogbon, Emre Aksu, Lasse Heikkilä:
Demo: Accelerating Depth-Map on Mobile Device Using CPU-GPU Co-processing. CAIP (1) 2019: 75-86 - [c7]Peter Fasogbon, Emre Aksu:
Calibration of Fisheye Camera Using Entrance Pupil. ICIP 2019: 469-473 - [c6]Peter Fasogbon, Lasse Heikkilä, Emre Aksu:
Frame selection to accelerate Depth from Small Motion on smartphones. IECON 2019: 113-118 - [c5]Peter Fasogbon:
Depth from Small Motion using Rank-1 Initialization. VISIGRAPP (4: VISAPP) 2019: 521-528 - [i2]Peter Fasogbon, Emre Aksu:
Calibration of fisheye camera using entrance pupil. CoRR abs/1907.01759 (2019) - [i1]Peter O. Fasogbon:
Depth from Small Motion using Rank-1 Initialization. CoRR abs/1907.04058 (2019) - 2018
- [c4]Peter Fasogbon, Lixin Fan:
Generic calibration of cameras with non-parallel optical elements. ICPR 2018: 1875-1881 - [c3]Peter Fasogbon, Lixin Fan:
Automatic Feature Extraction for Wide-angle and Fish-eye Camera Calibration. ICPR 2018: 2947-2952 - 2016
- [b1]Peter Fasogbon:
Dimensional Measurement of Metallic Object by 3D Vision. (Mesure dimensionnelle d'objets métalliques par vision 3D). Lille University of Science and Technology, France, 2016 - [c2]Peter Fasogbon, Luc Duvieubourg, Ludovic Macaire
:
Scheimpflug Camera Calibration Using Lens Distortion Model. CVIP (1) 2016: 159-169 - [c1]Peter Fasogbon, Luc Duvieubourg
, Ludovic Macaire
:
Fast laser stripe extraction for 3D metallic object measurement. IECON 2016: 923-927
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