3D Computer Vision Researcher

Key Skills

C++, Computer Vision (CV), Danesfield, Deep Learning, dense 3D reconstruction, Geospatial Statistical, Image processing, KWIVER, Open source project tools, Python Programming, TeleSculptor

Job Description

Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.

Researchers at Kitware enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV); and encouragement to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 20 universities and maintains active involvement in major vision conferences.

About the Projects: 

Kitware’s 3D computer vision team develops algorithms and open source applications for photogrammetry: reconstructing 3D models of objects from images and video. Current 3D projects have an emphasis on aerial and satellite imagery sources, but capabilities are often adapted to other problem domains. These projects have created and continue to support the development of TeleSculptor, an open source application for aerial 3D reconstruction built on KWIVER, and Danesfield, an open source Python framework and web application for urban 3D modeling from satellite imagery. Our 3D vision research projects support the continued development of these tools, development and publication of new cutting edge 3D reconstruction and camera calibration algorithms, and opportunities to leverage 3D vision to assist with broader computer vision topics. The team is exploring how 3D vision algorithms can aid in object detection and tracking, change detection, super resolution, video compression, super resolution, and various other problems. We frequently explore opportunities to adapt our work to new customers with new challenges and new data domains such as underwater imagery or synthetic aperture radar.

In This Position You Will:

• Conduct research and develop solutions for problems related to camera calibration, registration, and 3D reconstruction from images
• Contribute to the development of open source software such as TeleSculptor, KWIVER, or Danesfield
• Collaborate with other researchers to brainstorm ideas and peer review work
• Prepare and present research findings to customers and collaborators
• Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
• Be encouraged to seek funding to grow and develop your own research areas, if you desire

Required Qualifications:

• PhD in Computer Science or related field
• Experience using multiview geometry to develop algorithms for building 3D point clouds or meshes from imagery or video
• Experience with good software development practices and proficiency in C++ or Python or both.
• Strong publication record in top-tier research publications and conferences such as CVPR, ICCV, and ECCV.
• Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
• Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
• Candidates should include a detailed list of publications as part of their resume/CV

Preferred Qualifications:

• Experience with deep learning methods is desirable, but not required
• Experience with geospatial coordinates systems and transformation is desirable, but not required

Additional Information:

Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks.