As a Silver Sponsor, Kitware will exhibit a booth at WACV 2016. The conference will host leaders in the field of computer vision and feature workshops and tutorials such as the 2nd Workshop on Automated Analysis of Video Data for Wildlife Surveillance. The workshop will take place in conjunction with the conference on Thursday, March 10, 2016. It is co-organized by Anthony Hoogs, who is one of the conference’s General Chairs and the Senior Director of Computer Vision at Kitware. Also to attend from Kitware, Arslan Basharat is the Local Arrangements Chair and Matt Turek is the Publicity Chair of the conference. At WACV, both will serve as oral session chairs.
In addition, as part of the Oral 2D: Aerial / Mobile session on Tuesday, March 8, 2016, Matt Leotta will present the paper ‘Open Source Structure-from-Motion for Aerial Video.” Matt is an author of the paper along with Eric Smith, Matthew Dawkins, and Paul Tunison. The abstract is as follows:
Structure-from-motion (SfM) is a well-studied problem in the computer vision field and is of particular interest for aerial imaging applications like mapping, terrain modeling, crop monitoring, etc. With the current rapid growth in the commercial UAV and small satellite markets, aerial SfM is becoming even more important. In recent years, free and open source software has enabled almost anyone to apply SfM to their data at no cost. Existing free packages are oriented toward processing unordered collections of photographs and are less efficient at processing ordered collections or video. They are also prone to failure with nearly planar scenes that often arise in aerial photography. While commercial solutions for aerial SfM exist, they are proprietary and expensive.
This paper presents a new open source software toolkit named MAP-Tk that targets SfM for aerial video. It exploits temporal continuity and the aerial nature of the data to speed up and improve feature tracking, loop closure, and bundle adjustment. The system is highly configurable and modular. Dynamic plugins provide state-of-the art algorithms from other open source projects like OpenCV, VXL, and Ceres Solver. This paper presents the modular system design, user interface, novel algorithms exploiting aerial video, and results on various aerial data sets.
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