[visionlist] Post-doc: Visual landmark detection and matching for image-based localization (Paris area, France)Posted: November 30, 2012
Title : Visual landmark detection and matching for
image-based localizationLink to the offer:
This Postdoctoral position will take
place within the scope of the large TerraMobilita project
(a follower of
the TerraNumerica project) of the French CapDigital
cluster (Business Cluster For Digital Content and
Services of the Paris Region) which aims at building
production lines to generate automatically and semi-
automatically 3D models of roadways and sidewalks from
ground-based mobile mapping systems (MMS)
equipped with optical imaging together with laser devices.
In that scope, one technological lock is to
obtain a high quality localization of the acquired data,
enabling for instance robust map updating by
change detection when passing several times by the same
path at different dates. This high quality can
be achieved using Inertial Navigation Systems (hybridating
GPS, INS and odometer measurements) but
at a very high cost. It impedes the exploiting or
development of low-cost digitizing systems that are able
acquire renewed data with very short updating cycles to
ensure the temporal integrity of the data basis.
An alternative strategy is to use the optical sensors of a
light device (a light mobile platform, a
Smartphone or a simple camera) as positioning sub-system
and to register the acquired data with respect
to a reference data set that would be acquired by an
infrastructure vehicle integrating a high quality
localization device. Here, the infrastructure acquisitions
will be performed with a mobile mapping system
called STEREOPOLIS which is developed in the MATIS
laboratory. The images acquired by the low-cost
system can then be registered by first matching visual
relevant features between both data sets, and
second integrating these matches into a bundle adjustment
process. The MATIS has already some
experience and tools on bundle adjustment for robust
registration and reconstruction of 3D visual
landmarks (e.g. road markings and road signs) from
multiple view imagery with sub-decimetric absolute
In this context, the post-doc will focus
on the study of matching algorithms for very precise
an image as well as of an image sequence. The objective is
to increase the accuracy already reached in
the laboratory and in literature. In particular, we will
first focus on the extraction of very precise visual
features. Visual landmarks such as road markings and signs
have proved their robustness, especially
facing classical interest points. Other visual landmarks
or more general visual features (points, lines,
patches etc.) will be studied according to the precision
of their localization and their repeatability.
Then the main challenge will concern the
geometric precision of the matching, especially facing the
volume and redundancy of the manipulated data (input and
reference) and their differences due to
different periods of acquisition. Pure 2D-to-2D strategies
may be considered, as well as 2D-to-3D ones
involving the 3D reconstruction associated with the
reference dataset available at MATIS. Depending on
the source of the images, an initial set of solutions
(e.g. given by GPS) would be available or not. In that
case, the scalability of the proposal will be mandatory to
deal with large segments of data.
The MATIS laboratory of the IGN, which
is the French national mapping agency, is one of the
laboratories in photogrammetric computer vision, image
analysis and remote sensing applied to
geospatial imagery and ground based imagery (e.g.,
provided by mobile mapping systems). It is
composed of 30 researchers, including 17 permanent
researchers. The MATIS laboratory has
been involved in 3D data collection for 3D city modelling
for twenty years, and
makes use of several distinct methods that have been
developed during this period. For more information
about the MATIS please visit our website:
The candidate should have a PhD degree
in photogrammetry or computer vision, with knowledge and
interest in pattern recognition.
– Good knowledge of programming language
(C++) is mandatory.
– Prior knowledge and experience in the fields of pose
estimation and/or scalability will be a plus.
– Good spoken and written English. Knowledge of French
would be useful.
Location: MATIS laboratory of the IGN,
Saint-Mandé, Paris, France.
Salary: around 2200 € per month (net income), according to
experience. The position is a salaried
employment with the right to social benefits and paid
Duration: 18 months, to start as soon as possible.
Send by email in a single pdf file to
the two contacts: a cover letter describing how your
experience is relevant to the position, recommendation
letters or names of referees and a resume
(including a summary of the thesis).
Deadline: Position is open until filled.
– Bahman Soheilian Phone: 00 33 1 43 98
84 29 / E-mail: firstname.lastname@example.org
– Valerie Gouet-Brunet Phone: 00 33 1 43 98 00 00 /
A postdoctoral position at Monash University,
ARC (Australian Research Council) funded research
project on â€œThe neuronal basis of consciousness: how brain rhythms control the doors
of perceptionâ€ (PIs: Tsuchiya, Maller, Foster, Takaura), which will run for 3
years from Jan 2013. The initial appointment will be for one year (AUD $72,756/per year), with renewal based upon satisfactory performance and evaluation.
We are looking for a
postdoctoral fellow whose main research interest is the neuronal basis of
consciousness. In particular, we look for applicants who have experience and
publications in EEG and TMS experiments as well as experience (and possibly
publications) in advanced signal processing analyses of the multi-dimensional data
in EEG and ECoG, such as Granger Causality and decoding/machine learning. Experience
and publication in the advanced analysis of eye movements (micro-saccades, scan
path analysis, etc) would be also welcomed. It is essential to have programming
skills in Matlab for task design, data analysis, and statistics.Â
Excellent written and oral English communication skills is required.
We will be mainly
working at the Clayton Campus of Monash University, one of the eight top
universities in Australia (G8). Depending on the progress of the project, the
initial contract will be extended to involve simultaneous EEG & fMRI
experiments and EEG/TMS & fMRI experiments at Monash Brain Imaging
facility, which hosts a research-only MRI scanner, EEG, TMS and eye tracking.Â http://mbi.monash.edu.au/
are encouraged to send a CV, statement of research accomplishments and
interests, PDF copies of representative publications, and contact information
for 2 reference letters to:
Application review will begin immediately and
continue until the position is filled.
I would appreciate for the following vacancy to be posted on Imageworld.
SeeByte provides clients in the Military and Oil and Gas sectors with the most advanced software to enhance the capabilities of their underwater sensors, vehicles and systems.
SeeByte are looking to recruit a Graduate Test Engineer to join their Edinburgh based Engineering group.
Graduate Test Engineer – Edinburgh
Salary – Dependant on skills/experience
Company – SeeByte Ltd (www.seebyte.com)
Job Type – Permanent
As a Graduate Test Engineer, your main responsibilities will involve:
• Ability to follow the appropriate methodology in order to build, execute and analyse functional and non-functional tests.
• Implementing test tools, environments and test data in a timely and cost effective manner.
• Executing and analysing test cases and scenarios.
Academic Qualifications / Experience
• Good degree (1st /2.1 Hons) Electrical/Computer Science/Software Engineering with strong software engineering emphasis.
• Practical experience in working on Linux and Windows systems.
Essential Technical Skills
Demonstrable experience in:
• General software engineering skills
• Unit testing and functional testing
• Experience in at least one of the following areas:
◦ Scripting and task automation
◦ Code Profiling and performance analysis
◦ System integration and safety assurance
• Excellent organisational skills.
• Good inter-personal/communications skills.
• Confident working in a small company environment.
• Good reporting skills.
• Dependable when working under tight deadlines.
How to Apply
Send an e-mail to email@example.com in person (no recruitment agencies) with an up to date CV, including current salary details and notice period.
Because of the nature of the work associated with this post, it is subject to special nationality rules and is open only to British, US or European Citizens. All selected candidates will be subject to background checking.
HR Account Manager
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[Imageworld] Call for Participation: 2nd Competition on Counter Measures to 2D Facial Spoofing AttacksPosted: November 30, 2012
2nd Competition on Counter Measures to 2D Facial Spoofing Attacks –
CALL FOR PARTICIPATION
The Tabula Rasa project and the Idiap Research Institute are
organizing the 2nd Competition on Counter Measures to 2D Facial
Spoofing Attacks. It will be organized as a part of the 6th
International Conference on Biometrics, ICB-2013, to be held in June
4-7, 2013 in Madrid, Spain.
Please find the Call for Participation here: http://www.idiap.ch/~ichingo/resources/ICB2013-antispoofing-competition.pdfImportant dates:
Registration due: January 14, 2013
Availability of test set: March 1, 2013
Submission of results and method description: March 15, 2013
Publication of the results at ICB-2013: April 8, 2013
For information about the competition, please visit: http://www.tabularasa-euproject.org/evaluations/icb-2013-face-anti-spoofing
The Robotics Group at the University of Zaragoza, Spain is looking for two highly motivated PhD students to join an industry-driven research project in collaboration with a recently created start-up. The post is available from January 2013. The successful candidate must have a degree(s) in Engineering, Physics, Maths, Computer Science or a related field, with a solid background in machine learning and/or computer vision. The PhD students will work with Dr. Luis Montesano and Dr. Javier Civera.
Applicants should submit a cover letter addressing the selection criteria below, curriculum vitae (including publications), and contact information of at least one referee. A copy of the academic transcripts (i.e., your grades in your bachelor and/or master degree(s)) should be included in the application. Applications should be sent to Â firstname.lastname@example.orgÂ in a single pdf document; indicating which one of the two positions is preferred. Applications can be sent immediately and will be evaluated until the position is taken.
â€¢ Â Â Â Excellent C/C++ and Matlab programming skills.
â€¢ Â Â Â Excellent academic background. A Master degree in related fields will be highly valued.Â
â€¢ Â Â Â Experience in machine learning methods.
â€¢ Â Â Â Experience in computer vision (3D vision and/or recognition).
The project aims to create portable technology to evaluate the behavior of people on everyday situations, such as shopping.
Profile 1: 3D scene models from wearable cameras. The aim is camera tracking and the creation of scene models from an image sequence obtained with a wearable camera. The specific challenges that will be addressed are: blurred images from rapid motion, scenes with low texture and the estimation of high level semantics (e.g., inserting objects or humans in the scene). Â This PhD thesis will be mainly advised by Dr. Javier Civera.
Profile 2: Automatic creation of user profiles from behavioral data. The research will focus on the development of algorithms to extract user profiles from real data acquired during everyday activities. Data will involve many different measures including trajectories, attention and information provided by bio-sensors. This PhD thesis will be mainly advised by Dr. Luis Montesano.