Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification
2012 doctoral thesis by Neel Pandey at University of Auckland
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Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification
Summary
Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification is a doctoral thesis[1].
Key Facts
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification authored Neel Pandey[2].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's instance of is recorded as doctoral thesis[3].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's publisher is recorded as ResearchSpace@Auckland[4].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[5].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's country of origin is recorded as New Zealand[6].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's publication date is recorded as +2012-00-00T00:00:00Z[7].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/20506[8].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's Handle ID is recorded as 2292/20506[9].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's title is recorded as Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification[10].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's copyright holder is recorded as Neel Pandey[11].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's thesis submitted to is recorded as University of Auckland[12].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's on focus list of Wikimedia project is recorded as NZThesisProject[13].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's copyright status is recorded as copyrighted[14].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's online access status is recorded as open access[15].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's thesis committee member is recorded as Waleed H. Abdulla[16].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's thesis committee member is recorded as Zoran Salcic[17].
Body
Designation and Status
Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's instance of is recorded as doctoral thesis[3].