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Browsing General science, engineering & technology by Author "Withey, Daniel J"

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  • Van Eden, B; Rosman, Benjamin S; Withey, Daniel J; Ratshidaho, T; Keaikitse, M; Masha, D; Kleinhans, A; Shaik, A (RobMech, 2014-11)
    Mobile manipulation is a robotics paradigm with the potential to make major contributions to a number of important domain areas. Although some mobile manipulators are commercially available, bespoke systems can be assembled ...
  • Pancham, Ardhisha; Withey, Daniel J; Bright, G (IEEE, 2016-10)
    The use of low-cost, camera sensors for Simultaneous Localization And Mapping and Moving Object Tracking (SLAMMOT) is a developing research area. Image features can be static or dynamic, sparse or dense, and can appear or ...
  • Mabaso, M; Withey, Daniel J; Twala, B (PRASA, 2014-11)
    Research in biological image analysis plays an important role in understanding the underlying mechanisms of cellular processes, which may lead to better knowledge of certain aspects of the cell function. The primary analysis ...
  • Withey, Daniel J (CSIR, 2015-10)
    Computer vision systems are essential for practical, autonomous, mobile robots – machines that employ artificial intelligence and control their own motion within an environment. As with biological systems, computer vision ...
  • Mabaso, Matsilele A; Withey, Daniel J; Twala, B (Springer Verlag, 2019-08)
    This paper developed and evaluated a method for the detection of spots in microscopy images. Spots are subcellular particles formed as a result of biomarkers tagged to biomolecules in a specimen and observed via fluorescence ...
  • Pancham, Ardhisha; Withey, Daniel J; Bright, G (Springer, 2018-03)
    Simultaneous Localization And Mapping (SLAM) assumes a static environment. In a dynamic environment, the localization accuracy and map quality of SLAM may be degraded by moving objects. By removing these moving objects ...
  • Mabaso, M; Withey, Daniel J; Twala, B (IEEE Xplore, 2016-02)
    Fluorescence microscopy imaging is an important tool in modern biological research, allowing insights into the processes of biological systems. Automated image analysis algorithms help in extracting information from these ...
  • Mabaso, M; Twala, B; Withey, Daniel J; Utete, S (2012-10)
    Detection of messenger Ribonucleic Acid (mRNA) spots in fluorescence microscopy images is of great importance for biologists seeking better understanding of cell functionality. Fluorescence microscopy and specific staining ...
  • Mabaso, M; Twala, B; Withey, Daniel J (IEEE, 2013-09)
    Tracking of multiple bright particles (spots) in fluorescence microscopy image sequences is seen as a crucial step in understanding complex information in the cell. However, fluorescence microscopy generates high a volume ...
  • Mabaso, Matsilele A; Withey, Daniel J; Twala, B (SCITEPRESS, 2018-01)
    Robust spot detection in microscopy image analysis serves as a critical prerequisite in many biomedical applications. Various approaches that automatically detect spots have been proposed to improve the analysis of biological ...
  • Mabaso, Matsilele A; Withey, Daniel J; Twala, B (Spot detection methods in fluorescence microscopy imaging: A review, 2018)
    Fluorescence microscopy imaging has become one of the essential tools used by biologists to visualize and study intracellular particles within a cell. Studying these particles is a long-term research effort in the field ...
  • Lubbe, Estelle; Withey, Daniel J; Uren, KR (IEEE, 2015-09)
    This paper introduces a state estimation methodology for a hexapod robot that makes use of proprioceptive sensors and a kinematic model of the robot. The methodology focuses on providing reliable full pose state estimation ...
  • Pancham, A; Withey, Daniel J; Bright, G (IEEE Xplore, 2015-05)
    The tracking of moving points in image sequences requires unique features that can be easily distinguished. However, traditional feature descriptors are of high dimension, leading to larger storage requirement and slower ...

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