Computer Vision deals with the process of automatic understanding of visual information from a single-source or several images or image sequences. From an engineering point of view it applies methods from classical image processing and artificial intelligence to extract useful information from a given visual input source.
Some of the most important tasks in Computer Vision include object detection and classification, object tracking and scene reconstruction. In recent years, in addition to classical approaches, deep neural networks (DNN) have been increasingly used in these areas with significant success, especially with large amounts of training data at hand.
Based on many years of project work experience in the field of Computer Vision, we would be happy to assist you as your expert contact, whether you’d like to get an overview of state-of-the-art techniques and methods or in case you have a software development request.
We worked with a variety of clients and technologies over the years of which the most prominent are: OpenCV, ITK, VTK, Halide, HALCON, Caffee, TensorFlow as well as C++ and Qt.
Finished Computer Vision projects
3D camera 03.2021 - 08.2021
Optimization of existing software processes and methodologies for ToF-based camera systems
Software Architecture and Performance 02.2020 - 12.2021
Refactoring of a 100k+ codebase and performance optimization of core algorithms for a variety of target platforms and devices
Volumeviewer for CT datasets 07.2019 - 12.2020
Development of a software application used for segmentation and measuring structures in 3D medical images
Computer Vision Workshop 3.2019
Workshop with a focus on object detection and measurement, image segmentation, multiple-view 3D reconstruction and camera calibration
3D Space-Carving 05.2018 - 07.2018
Development of a prototype for detecting inclusions and dirt in translucent gemstones
Vision Algorithms 02.2016 - 12.2017
Development, optimization and parallelization of Computer Vision algorithms for the HALCON machine vision library
Craquelure for Cryptography 03.2015 - 01.2016
R&D for secure and unique detection of craquelure patterns based on image features (2D) and surface patterns (3D)
Intraoral 3D-Scanner 07.2012 - 12.2012
Implementation of a realtime structured-light based 3D reconstruction algorithm for an intraoral scanner
Structured-Light 3D-Scanner 01.2012 - 12.2012
Implementation of a user friendly, easy-to-use desktop application for the 3D reconstruction of objects for a commercial CNC machine
Mobile3DVision 06.2010 - 09.2010
Stereo photography on a smartphone using a prism for color channel separation and depth estimation via point correspondence
Objectify - Android 3D Scanner 05.2011 - 08.2016
World's first mobile 3D scanner for Android, doing on-device reconstruction using Photometric-Stereo
Uncalibrated Photometric-Stereo 11.2013 - 03.2015
Photometric-Stereo under unknown light source diretions using SVD
Particle-Filter 05.2012 - 07.2012
Particle filter for tracking multiple humans in high-density crowds
Realtime Photometric-Stereo 12.2012 - 04.2017
Implementing realtime photometric-stereo using a monochromatic camera and eight LEDs