Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jonas Wang"'
Publikováno v:
IEEE Access, Vol 9, Pp 89020-89028 (2021)
Camera pose estimation is crucial for 3D surface reconstruction and augmented reality applications. For systems equipped with RGB-D sensors, the corresponding transformation between frames can be effectively estimated using the iterative closest poin
Externí odkaz:
https://doaj.org/article/af5862f5603e4eb7a454b3f343b7f384
Autor:
Jon Walker, Monica Chen, Charles Lu, Jonas Wang, Sandra Fradenburg, Sara Neveu, Robert Tressler, Jan Nolta, Suzanne Pontow
Publikováno v:
Stem Cells Translational Medicine, Vol 8, Iss S1, Pp S21-S21 (2019)
Externí odkaz:
https://doaj.org/article/448fe5ad0b6b4570944c0060142cbe48
Publikováno v:
DDECS
Cascaded classifier based object detectors are popular for many applications because of their high efficiency. Many researches have been devoted to developing the corresponding hardware accelerators. To reduce the circuit complexity while maintaining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6526fb8b096f20a000964f236a4e161f
https://doi.org/10.1109/ddecs.2019.8724671
https://doi.org/10.1109/ddecs.2019.8724671
Publikováno v:
ISCAS
Simultaneous localization and mapping algorithms are important for high-quality registration used in augmented reality applications. Keyframe based SLAM can effectively reduce local drift by aligning a frame to the corresponding keyframe; however, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da388202d9d50e3948ec70a648ef0478
https://doi.org/10.1109/iscas.2018.8351436
https://doi.org/10.1109/iscas.2018.8351436
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 25:1038-1050
A low-complexity depth-reliability-based stereo-matching algorithm and an efficient scanline memory-merging implementation scheme are proposed in this paper. The developed algorithm analyzes the accuracy of disparity results by using simple local win
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aa2ab6153d17bf54ae1b053efd7b6ea
https://doi.org/10.1109/tcsvt.2014.2361419
https://doi.org/10.1109/tcsvt.2014.2361419
Publikováno v:
APCCAS
Single-image super-resolution is widely adopted for high resolution display related applications. Example learning-based approaches can provide plenty of image details by using trained dataset. Regression-based methods reduce the memory storage size
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad7549f96048d8457870875fcf583830
https://doi.org/10.1109/apccas.2016.7803921
https://doi.org/10.1109/apccas.2016.7803921
Publikováno v:
ISMAR Adjunct
Iterative closest point (ICP) algorithm is a common localization method used to estimate camera poses by aligning two depth frames. Since the input depth map is easily distorted when the camera is in large motion, it might result in incorrect pose es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fffc69737276c75e87e97b2c22896b5
https://doi.org/10.1109/ismar-adjunct.2016.0091
https://doi.org/10.1109/ismar-adjunct.2016.0091
Publikováno v:
ISMAR Adjunct
Registration is an important task in augmented reality (AR) systems. For markerless AR, feature descriptors are generally used as a basis of registration process, which is expected to be robust for various application scenarios. This work aims at exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaca0b4aa04bd08de5d67c8850b6dfb6
https://doi.org/10.1109/ismar-adjunct.2016.0092
https://doi.org/10.1109/ismar-adjunct.2016.0092
Publikováno v:
ISCAS
Single-image super-resolution is an important technique for high resolution display related applications. Example learning-based approaches can provide plenty of image details by using trained dataset. The regression based methods reduce the memory s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::931e7b3a93a986d218ab4c236985d1f2
https://doi.org/10.1109/iscas.2016.7538967
https://doi.org/10.1109/iscas.2016.7538967
Publikováno v:
ISCAS
Texture compression is an important technique to reduce memory storage and increase rendering speed in graphic processing units (GPUs). To ensure fast decoding and retain random memory access characteristics, the industry standard DXTC compression fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c8065cac6d576eef08273406e110f9c
https://doi.org/10.1109/iscas.2015.7169258
https://doi.org/10.1109/iscas.2015.7169258