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  - 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  - 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  - 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  - 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  - 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  -