Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification
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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 was published by 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 was released on 2012[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 title is recorded as Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification[9].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's copyright holder is recorded as Neel Pandey[10].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's thesis submitted to is recorded as University of Auckland[11].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's on focus list of Wikimedia project is recorded as NZThesisProject[12].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's copyright status is recorded as copyrighted[13].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's online access status is recorded as open access[14].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's thesis committee member is recorded as Waleed H. Abdulla[15].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's thesis committee member is recorded as Zoran Salcic[16].
- Modelling Gait Attributes Using Single and Multiple Viewpoints for Human Identification's thesis submitted for degree is recorded as Doctor of Philosophy[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].