TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Gebhardt, Andreas
A1  - Kallweit, Stephan
A1  - Scholl, Ingrid
A1  - Tedjasukmana, Osmond Sanjaya
T1  - Improving additive manufacturing by image processing and robotic milling
T2  - 2015 IEEE International Conference on Automation Science and Engineering (CASE), Aug 24-28, 2015 Gothenburg, Sweden
Y1  - 2015
U6  - http://dx.doi.org/10.1109/CoASE.2015.7294217
SP  - 924
EP  - 929
ER  - 
TY  - JOUR
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - IR stereo kinect: improving depth images by combining structured light with IR stereo
Y1  - 2014
SP  - 1
EP  - 9
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - IR stereo kinect: improving depth images by combining structured light with IR stereo
T2  - PRICAI 2014: Trends in artificial intelligence : 13th Pacific Rim International Conference on Artificial Intelligence : Gold Coast, QLD, Australia, December 1-5, 2014 : proceedings. (Lecture notes in computer science ; vol. 8862)
N2  - RGB-D sensors such as the Microsoft Kinect or the Asus Xtion are inexpensive 3D sensors. A depth image is computed by calculating the distortion of a known infrared light (IR) pattern which is projected into the scene. While these sensors are great devices they have some limitations. The distance they can measure is limited and they suffer from reflection problems on transparent, shiny, or very matte and absorbing objects. If more than one RGB-D camera is used the IR patterns interfere with each other. This results in a massive loss of depth information. In this paper, we present a simple and powerful method to overcome these problems. We propose a stereo RGB-D camera system which uses the pros of RGB-D cameras and combine them with the pros of stereo camera systems. The idea is to utilize the IR images of each two sensors as a stereo pair to generate a depth map. The IR patterns emitted by IR projectors are exploited here to enhance the dense stereo matching even if the observed objects or surfaces are texture-less or transparent. The resulting disparity map is then fused with the depth map offered by the RGB-D sensor to fill the regions and the holes that appear because of interference, or due to transparent or reflective objects. Our results show that the density of depth information is increased especially for transparent, shiny or matte objects.
Y1  - 2014
SN  - 978-3-319-13559-5 (Print) ; 978-3-319-13560-1 (E-Book)
U6  - http://dx.doi.org/10.1007/978-3-319-13560-1_33
SP  - 409
EP  - 421
PB  - Springer
CY  - München
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - CRVM: Circular Random Variable-based Matcher - A Novel Hashing Method for Fast NN Search in High-dimensional Spaces
T2  - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018
Y1  - 2018
SN  - 978-989-758-276-9
U6  - http://dx.doi.org/10.5220/0006692802140221
SP  - 214
EP  - 221
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - An Efficient Hashing Algorithm for NN Problem in HD Spaces
T2  - Lecture Notes in Computer Science
Y1  - 2019
SN  - 978-303005498-4
U6  - http://dx.doi.org/10.1007/978-3-030-05499-1_6
N1  - 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018; Funchal; Portugal; 16 January 2018 through 18 January 2018; Code 222779
SP  - 101
EP  - 115
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - Optimized KinectFusion Algorithm for 3D Scanning Applications
T2  - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING
Y1  - 2018
SN  - 978-989-758-278-3
U6  - http://dx.doi.org/10.5220/0006594700500057
SP  - 50
EP  - 57
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - An Optimized Method for 3D Body Scanning Applications Based on KinectFusion
T2  - Communications in Computer and Information Science
Y1  - 2019
U6  - http://dx.doi.org/10.1007/978-3-030-29196-9_6
SN  - 1865-0929
N1  - 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018; Funchal; Portugal; 19 January 2018 through 21 January 2018
VL  - 1024
SP  - 100
EP  - 113
PB  - Springer
ER  - 
TY  - CHAP
A1  - Arndt, Tobias
A1  - Conzen, Max
A1  - Elsen, Ingo
A1  - Ferrein, Alexander
A1  - Galla, Oskar
A1  - Köse, Hakan
A1  - Schiffer, Stefan
A1  - Tschesche, Matteo
T1  - Anomaly detection in the metal-textile industry for the reduction of the cognitive load of quality control workers
T2  - PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
N2  - This paper presents an approach for reducing the cognitive load for humans working in quality control (QC) for production processes that adhere to the 6σ -methodology. While 100% QC requires every part to be inspected, this task can be reduced when a human-in-the-loop QC process gets supported by an anomaly detection system that only presents those parts for manual inspection that have a significant likelihood of being defective. This approach shows good results when applied to image-based QC for metal textile products.
KW  - Datasets
KW  - Neural networks
KW  - Anomaly detection
KW  - Quality control
KW  - Process optimization
Y1  - 2023
SN  - 9798400700699
U6  - http://dx.doi.org/10.1145/3594806.3596558
N1  - PETRA '23: Proceedings of the 16th International Conference on Pervasive Technologies Related to Assistive Environments, Corfu Greece, July 5 - 7, 2023.
SP  - 535
EP  - 542
PB  - ACM
ER  - 
TY  - JOUR
A1  - Beck, Daniel
A1  - Buchleitner, Martin
A1  - Ferrein, Alexander
A1  - Niemüller, Tim
A1  - Steinbauer, Gerald
T1  - Mostly Harmless & AllemaniACs - mixed innovations
Y1  - 2014
SP  - 1
EP  - 8
ER  - 
TY  - CHAP
A1  - Booysen, Tracy
A1  - Mathew, Thomas
A1  - Knox, Greig
A1  - Fong, W. K.
A1  - Stüttgen, Marcel
A1  - Ferrein, Alexander
A1  - Steinbauer, Gerald
T1  - The Scarab Project
T2  - ICRA 2015 Developing Countries Forum
N2  - Urban Search and Rescue (USAR) is an active research
field in the robotics community. Despite recent advances
for many open research questions, these kind of systems are
not widely used in real rescue missions. One reason is that such
systems are complex and not (yet) very reliable; another is that
one has to be an robotic expert to run such a system. Moreover,
available rescue robots are very expensive and the benefits of
using them are still limited.
In this paper, we present the Scarab robot, an alternative
design for a USAR robot. The robot is light weight, humanpackable
and its primary purpose is that of extending the
rescuer’s capability to sense the disaster site. The idea is that a
responder throws the robot to a certain spot. The robot survives
the impact with the ground and relays sensor data such as
camera images or thermal images to the responder’s hand-held
control unit from which the robot can be remotely controlled.
Y1  - 2015
ER  -