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Kyle Simek Phones & Addresses

  • 1001 Spencer Ave, San Jose, CA 95125
  • Sunnyvale, CA
  • Chandler, AZ
  • Tucson, AZ
  • Scottsdale, AZ

Work

Company: Matterport Aug 2015 to Feb 2017 Position: Computer vision research engineer

Education

Degree: Master of Science, Doctorates, Masters, Doctor of Philosophy School / High School: University of Arizona 2008 to 2013 Specialities: Computer Science, Philosophy

Skills

Computer Vision • Machine Learning • C++ • Boost C++ • Matlab • Markov Chain Monte Carlo • Bayesian Inference • Probabilistic Models • 3D Reconstruction • 3D Visualization • Image Processing • Camera Calibration • Opengl • Cuda • Gpu • Template Metaprogramming • Bash • Linux • Javascript • Mysql • Php • Svm • Stochastic Optimization • Statistical Modeling • Statistical Inference • Machine Vision • Software Development • Python • Signal Processing • C • Software Engineering • Algorithms

Industries

Consumer Electronics

Resumes

Resumes

Kyle Simek Photo 1

Engineering Manager

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Location:
1001 Spencer Ave, San Jose, CA 95125
Industry:
Consumer Electronics
Work:
Matterport Aug 2015 - Feb 2017
Computer Vision Research Engineer

The University of Arizona Aug 1, 2008 - Aug 2015
Research Assistant

University of Arizona College of Fine Arts Nov 2006 - Dec 2008
Software Development Specialist

Intel Corporation Jan 2005 - Aug 2005
Software Engineering Intern

Apple Jan 2005 - Aug 2005
Engineering Manager
Education:
University of Arizona 2008 - 2013
Master of Science, Doctorates, Masters, Doctor of Philosophy, Computer Science, Philosophy
Arizona State University 2001 - 2006
Bachelors, Bachelor of Science, Computer Science
Skills:
Computer Vision
Machine Learning
C++
Boost C++
Matlab
Markov Chain Monte Carlo
Bayesian Inference
Probabilistic Models
3D Reconstruction
3D Visualization
Image Processing
Camera Calibration
Opengl
Cuda
Gpu
Template Metaprogramming
Bash
Linux
Javascript
Mysql
Php
Svm
Stochastic Optimization
Statistical Modeling
Statistical Inference
Machine Vision
Software Development
Python
Signal Processing
C
Software Engineering
Algorithms

Publications

Us Patents

Multi-Resolution Voxel Meshing

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US Patent:
20210225074, Jul 22, 2021
Filed:
Jan 13, 2021
Appl. No.:
17/147559
Inventors:
- Cupertino CA, US
Andrew Predoehl - Mountain View CA, US
Kyle L. Simek - San Jose CA, US
Ming Chuang - Mountain View CA, US
Pedro A. Pinies Rodriguez - San Jose CA, US
International Classification:
G06T 17/20
G06T 3/40
Abstract:
Various implementations disclosed herein generate a mesh representing the surfaces in a physical environment. The mesh is generated using multi-resolution voxels based on detected depth information, e.g., from a depth camera. The techniques may use multiple hash tables to store the multi-resolution voxel data. For example, the hash tables may store each voxel's 3D position and a truncated signed distance field (TSDF) value corresponding to each voxels' distance to a nearest surface. Each of the multiple hash tables may include data corresponding to a different level of resolution and those resolutions may depend upon distance/noise or other factors. For example, voxels close to a depth camera may have a finer resolution and smaller size compared to voxels that are further from the depth camera. Techniques disclosed herein may involve using a meshing algorithm that combines multi-resolution voxel information stored in multiple hash tables to generate a single mesh.
Kyle L Simek from San Jose, CA, age ~41 Get Report