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6 course outlines found

1

COMPSCI 773

: Intelligent Vision Systems
2025 Semester One (1253)
Computational methods and techniques for computer vision are applied to real-world problems such as 2/3D face biometrics, autonomous navigation, and vision-guided robotics based on 3D scene description. A particular feature of the course work is the emphasis on complete system design. Recommended preparation: COMPSCI 373 and 15 points at Stage II in Mathematics
Subject: Computer Science
No pre-requisites or restrictions
2

COMPSCI 773

: Intelligent Vision Systems
2024 Semester One (1243)
Computational methods and techniques for computer vision are applied to real-world problems such as 2/3D face biometrics, autonomous navigation, and vision-guided robotics based on 3D scene description. A particular feature of the course work is the emphasis on complete system design. Recommended preparation: COMPSCI 373 and 15 points at Stage II in Mathematics
Subject: Computer Science
No pre-requisites or restrictions
3

COMPSCI 773

: Intelligent Vision Systems
2023 Semester One (1233)
Computational methods and techniques for computer vision are applied to real-world problems such as 2/3D face biometrics, autonomous navigation, and vision-guided robotics based on 3D scene description. A particular feature of the course work is the emphasis on complete system design. Recommended preparation: COMPSCI 373 and 15 points at Stage II in Mathematics.
Subject: Computer Science
Prerequisite: Approval of Academic Head or nominee
4

COMPSCI 773

: Intelligent Vision Systems
2022 Semester One (1223)
Computational methods and techniques for computer vision are applied to real-world problems such as 2/3D face biometrics, autonomous navigation, and vision-guided robotics based on 3D scene description. A particular feature of the course work is the emphasis on complete system design. Recommended preparation: COMPSCI 373 and 15 points at Stage II in Mathematics.
Subject: Computer Science
Prerequisite: Approval of Academic Head or nominee
5

COMPSCI 773

: Intelligent Vision Systems
2021 Semester One (1213)
Computational methods and techniques for computer vision are applied to real-world problems such as 2/3D face biometrics, autonomous navigation, and vision-guided robotics based on 3D scene description. A particular feature of the course work is the emphasis on complete system design. Recommended preparation: COMPSCI 373 and 15 points at Stage II in Mathematics.
Subject: Computer Science
Prerequisite: Approval of Academic Head or nominee
6

COMPSCI 773

: Intelligent Vision Systems
2020 Semester One (1203)
Computational methods and techniques for computer vision are applied to real-world problems such as 2/3D face biometrics, autonomous navigation, and vision-guided robotics based on 3D scene description. A particular feature of the course work is the emphasis on complete system design. Recommended preparation: COMPSCI 373 and 15 points at Stage II in Mathematics.
Subject: Computer Science
Prerequisite: Approval of Academic Head or nominee

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