[visionlist] Computer Vision Engineer/Scientist positions at 2d3

[Ben Ochoa]

2d3 plans to fill up to 3 computer vision engineer/scientist positions. 
  One position will be based out of its Oxford office and the others out 
of its Southern California office.  The US position requires US 
citizenship.  Following is the job description.


The Company

Since 1999, 2d3 has supplied a range of computer vision products, all 
based on 3D from the moving image, mainly to the film and television 
production industries.  The company’s primary product, Boujou, the 
world’s leading automatic camera tracker, is now used by most film and 
video post-production companies to generate visual effects requiring 
accurate registration of real and virtual images.

In 2006, 2d3 expanded its efforts into the aerial imaging market.  The 
group has developed a set of technologies covering a wide range of 
real-time and off-line computer vision capabilities for processing of 
aerial motion imagery.

2d3 is part of OMG plc, a company with a 25 year history of developing, 
manufacturing, and selling products for 3-dimensional tracking in 
medical, industrial, government, and defense markets.  OMG exports over 
80% of its sales with customers in over 50 countries.  Since 2001, OMG 
has been listed on the London Stock Exchange.


The Job

The new appointee will be a computer vision engineer/scientist with 
relevant research experience, gained in academic, public sector, or 
commercial environments.  He or she will join a team with similar 
experience and act as technical lead on one or more projects covering 
augmented reality, real time structure from motion, automatic object 
recognition, vision hybrid navigation and targeting, tracking and 
collision avoidance, and terrain and urban modeling.

2d3 has close working relationships and a number of active collaborative 
projects with leading academic computer vision groups in UK, Europe, and 
US. Members of the company regularly attend and present at the major 
international computer vision conferences. Within the constraints of 
commercial and national security, 2d3 encourages the publication of 
peer-reviewed or invited papers and presentations.

2d3 uses Matlab for prototyping but the majority of 2d3’s extensive 
internal computer vision libraries are implemented in speed-optimized, 
multi-threaded C++.  Windows or Linux environments are used according to 
project and customer requirements.

The key areas of R&D for 2d3 include, but are not limited to:
- Image-based tracking (stabilization, structure from motion, SLAM, 
multi-sensor systems, etc.)
- Object detection, recognition, & classification (with/without 
tracking, single-/multi-view)
- Automatic mosaicing (using a range of matching methods)
- Photometric optimization & matching
- Camera calibration & image rectification
- Novel view synthesis
- Super-resolution & compression artifact reduction
- Hyperspectral image fusion
- Terrain & townscape 3D modeling

In addition, if you have the following key skills, they will set you 
apart from other candidates:
- C and C++
- OpenGL
- XML
- Boost
- IPP

In addition to your skills, you will also be required to satisfy the 
following minimum requirements:
- Fluency in English, both written and spoken
- Doctoral degree (Computer Science or Electrical Engineering) with 
direct experience in applied Computer Vision techniques (Masters level 
with equivalent work experience will also be considered)
- 5 years of full time, professional software development and 
engineering experience
- Must have been published in a generally accepted academic trade 
publication for novel application of vision science theory to a real 
world problem.
- Excellent analytic problem solving and critical thinking skills.


The Reward

The company offers a competitive remuneration package, with generous 
additional benefits including a contributory pension scheme and medical 
insurance.


Individuals interested in one of these positions should contact Ben 
Ochoa, Vice President of Research and Development, at ben.ochoa at 2d3.com.