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New advances in Neuro -Visual Simulation and Symbolic extraction for Real World Computing, 3D Image Analysis and 3D object Digitization [article]

P. Leray
1996 Eurographics Workshop on Graphics Hardware  
3D image analysis and automatic modelling using Neurofocalisation and attractiveness with hardwarefilters. Towards a new kind of filter-based data structures instead of splines/polygons.  ...  spatio temporal filtering on the image), from the control by higher levels on the feedback connections (expectations, hypothesis, goals), from neighbour information on lateral connections (perceptual  ...  These 4 step levels cooperate through feedforward connections to perfonn the analysis of the image, from pixels to labels, and through feedback connections to perfonn a "synthesis" of the image, from labels  ... 
doi:10.2312/eggh/eggh96/079-089 dblp:conf/egh/Leray96 fatcat:pygdbb4g3rfwfjooocc7euisf4

Glioblastoma Synthesis and Segmentation with 3D Multi-Modal MRI: A Study using Generative Adversarial Networks

Edmond Wang
2021 International Journal on Computational Science & Applications  
To see networks in action, an adjusted and calibrated Vox2Vox network - a 3D implementation of the Pix2Pix translator - is trained on the biggest public brain tumour dataset BraTS 2020.  ...  Nonetheless, accurate segmentation and realistic image synthesis remain challenging tasks.  ...  The model can also be altered in that instead of synthesising segmentation images, it also synthesises MR images to facilitate another CNN (or SVM and any other deep or machine learning algorithms) on  ... 
doi:10.5121/ijcsa.2021.11601 fatcat:4wjwcix2jrdrlckuoiwxnelhqq

The improbable but highly appropriate marriage of 3D stacking and neuromorphic accelerators

Bilel Belhadj, Alexandre Valentian, Pascal Vivet, Marc Duranton, Liqiang He, Olivier Temam
2014 Proceedings of the 2014 International Conference on Compilers, Architecture and Synthesis for Embedded Systems - CASES '14  
Due to the widespread use of machine-learning algorithms and the re-emergence of neural networks (NNs) as the preferred such algorithms, NN accelerators are receiving increased attention.  ...  We present what is, to the best of our knowledge, the first 3D stacked NN accelerator  ...  with Google Goggles, etc); this trend towards machine-learning applications was also identified by Intel which urged the community to focus on Recognition, Mining and Synthesis applications [7] , the  ... 
doi:10.1145/2656106.2656130 dblp:conf/cases/BelhadjVVDHT14 fatcat:kqoubbnaybejpiz7aerdditsfy

Integrated imaging and vision techniques for industrial inspection: a special issue on machine vision and applications

Zheng Liu, Hiroyuki Ukida, Pradeep Ramuhalli, David S. Forsyth
2010 Machine Vision and Applications  
Many of the open problems in this context are in the general area of image analysis methodologies (preferably in an automated fashion).  ...  The purpose of this special issue is to highlight recent advances and demonstrate the successful applications of integrated imaging and vision technologies in industrial inspection.  ...  Acknowledgments The guest editors of this special issue would like to thank all anonymous reviewers for their time and efforts in reviewing the submissions.  ... 
doi:10.1007/s00138-010-0277-9 fatcat:7zkdkbhfzff6vfkyxyu5qc6mnm

Categorizing cubes: Revisiting pose normalization

Mohsen Hejrati, Deva Ramanan
2016 2016 IEEE Winter Conference on Applications of Computer Vision (WACV)  
We demonstrate, both theoretically and empirically, that synthesis is a surprisingly simple but effective strategy that allows for state-of-the-art categorization and automatic 3D alignment.  ...  This paper introduces and analyzes the novel task of categorical classification of cuboidal objects -e.g., distinguishing washing machines versus filing cabinets.  ...  We specifically focus on the task of categorization ("is this a washing machine or a cabinet?")  ... 
doi:10.1109/wacv.2016.7477627 dblp:conf/wacv/HejratiR16 fatcat:2lzygbptuvdtblcharlhdhqgz4

Acoustic Evaluation of Simplifying Hypotheses Used in Articulatory Synthesis

Ioannis Douros, Yves Laprie, Pierre-André Vuissoz, Benjamin Elie, Angélique Amelot
2019 Proceedings of the ICA congress  
Articulatory synthesis allows the link between the temporal evolution of the Vocal Tract (VT) shape and the acoustic cues of speech sounds to be investigated unlike other approaches of speech synthesis  ...  We will exploit these results to improve the simplified acoustic simulations used in articulatory synthesis.  ...  ACKNOWLEDGEMENTS This work is supported by the ANR grant "ArtSpeech" (2015-2019).  ... 
doi:10.18154/rwth-conv-239243 fatcat:t2swvmggrbcevl3zvkbmxndmle

Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis [article]

Zhipeng Bao, Yu-Xiong Wang, Martial Hebert
2021 arXiv   pre-print
We propose a novel task of joint few-shot recognition and novel-view synthesis: given only one or few images of a novel object from arbitrary views with only category annotation, we aim to simultaneously  ...  We focus on the interaction and cooperation between a generative model and a discriminative model, in a way that facilitates knowledge to flow across tasks in complementary directions.  ...  Therefore, to verify the effect of the feedback connections, we focus on the following comparisons.  ... 
arXiv:2008.06981v2 fatcat:t5fxbkexkrbnpheidxlfznncoi

Cutaneous Tactile Synthesis for Cultural Heritage Exhibition [article]

Xin Yin, Kazuyoshi Nomura, Hiromi T. Tanaka
2008 VAST: International Symposium on Virtual Reality  
These studies mainly confuse on developing haptic hardware, and the algorithm for synthesizing input signals were not studied well.  ...  The system is consisted by 3D visual display, force feedback device and vibration tactile device. The effect of this system is demonstrated using virtual ancient heritage objects at the end.  ...  Acknowledgments This work is supported partly by the Grants-in-Aid for Scientific "Encouragement of Young Scientists (B) 19700104" of the Japan Society for the Promotion of Science.  ... 
doi:10.2312/vast/vast08/063-069 fatcat:owwuttnf6rfnjlmwzftkrycgdq

DeepVoxels: Learning Persistent 3D Feature Embeddings [article]

Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer
2019 arXiv   pre-print
Our approach combines insights from 3D geometric computer vision with recent advances in learning image-to-image mappings based on adversarial loss functions.  ...  In this work, we address the lack of 3D understanding of generative neural networks by introducing a persistent 3D feature embedding for view synthesis.  ...  A "multi-view stereo machine" [25] can learn 3D reconstruction based on 3D or 2.5D supervision. MapNet [18] performs SLAM based on a scene-specific 2D feature grid representation.  ... 
arXiv:1812.01024v2 fatcat:swnaep7shfarladgcmmruma5bi

Exploiting the Tomographic Nature of the Ultrasound, Could Processed Ultrasound Images Be a Viable Alternative to Ct or MRI?

Mohammed Zahid Saadoon, David I Adam, Jamal Abdul-Kader Al-Maki, Reiadh Kamal Al-Kamali
2021 International journal of medical science and health research  
Results: initial results show that the capability of synthesis data from ultrasound imaging modality in a fashion similar to that performed routinely with CT scan data Conclusion: ultrasound imaging is  ...  In medicine, different imaging modalities are available and many of them share the same concept, although having different processes to achieve it.  ...  Images processing that is taken by the CT machine, due to its nature, had enough contrast to yield a smooth 3D model.  ... 
doi:10.51505/ijmshr.2021.5308 fatcat:swykc7iybzhhjk3y3d6idnxvpm

Embodied Evolution of Artificial Cells in a Hybrid Wet/Hard-ware Platform

Juan Manuel Parrilla Gutierrez, Leroy Cronin
2015 07/20/2015-07/24/2015  
The platform was connected to a computer where the algorithms and the image processing were processed.  ...  The platform was designed and built based upon the open source 'RepRap' 3D-printer (Jones, 2011), where the extruder was replaced by a liquid handling carriage with four different nozzles connected to  ...  The platform was connected to a computer where the algorithms and the image processing were processed.  ... 
doi:10.7551/978-0-262-33027-5-ch042 dblp:conf/ecal/GutierrezC15 fatcat:amfvdi6xubfqnggp4tnzy7x3t4

Inference of segmented color and texture description by tensor voting

Jiaya Jia, Chi-Keung Tang
2004 IEEE Transactions on Pattern Analysis and Machine Intelligence  
A robust synthesis method is proposed to automatically infer missing color and texture information from a damaged 2D image by ND tensor voting (N > 3).  ...  First, we perform segmentation based on insufficient geometry, color, and texture information in the input, and extrapolate partitioning boundaries by either 2D or 3D tensor voting to generate a complete  ...  ACKNOWLEDGMENTS The authors would like to thank all the reviewers for their constructive comments to improve the final manuscript.  ... 
doi:10.1109/tpami.2004.10 pmid:18579937 fatcat:vn4bexjh2fbsvn6muollx5ncii

Front Matter: Volume 10338

Proceedings of SPIE, Hajime Nagahara, Kazunori Umeda, Atsushi Yamashita
2017 Thirteenth International Conference on Quality Control by Artificial Vision 2017  
The CID Number appears on each page of the manuscript.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  developments in machine and computer vision and image processing techniques, with an emphasis on quality control.  ... 
doi:10.1117/12.2277475 fatcat:wt7szt7vlvcuzadpkkitm443xe

Recent Progress of Face Image Synthesis [article]

Zhihe Lu, Zhihang Li, Jie Cao, Ran He, Zhenan Sun
2017 arXiv   pre-print
Face synthesis has been a fascinating yet challenging problem in computer vision and machine learning.  ...  Its main research effort is to design algorithms to generate photo-realistic face images via given semantic domain.  ...  Moreover, face synthesis based on 3D methods continues to be a hot topic because 3D methods model face directly from the view of geometry without large-scale data.  ... 
arXiv:1706.04717v1 fatcat:vkdsf6ogrvc4xlb3j2j3cbt7qq

Imaging Study of Pseudo-CT Synthesized From Cone-Beam CT Based on 3D CycleGAN in Radiotherapy

Hongfei Sun, Rongbo Fan, Chunying Li, Zhengda Lu, Kai Xie, Xinye Ni, Jianhua Yang
2021 Frontiers in Oncology  
PurposeTo propose a synthesis method of pseudo-CT (CTCycleGAN) images based on an improved 3D cycle generative adversarial network (CycleGAN) to solve the limitations of cone-beam CT (CBCT), which cannot  ...  The gamma pass rate of the dose distribution between CTCycleGAN and CTgt is 97.0% (2%/2 mm).ConclusionThe pseudo-CT images obtained based on the improved 3D CycleGAN have more accurate electronic density  ...  The second method is the pseudo-CT synthesis-based method, which mainly includes machine learning and deep learning-based synthesis methods.  ... 
doi:10.3389/fonc.2021.603844 pmid:33777746 pmcid:PMC7994515 fatcat:a3mdvbeiercaxpdhmferoyogg4
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