Quality and trueness in 3D data

Speaker: 

Przemysław Kowalski, IITiS PAN

Date: 

22/03/2018 - 13:00

The lecture presents the need to analyze the quality and accuracy of 3D data. 3D data (acquired by 3D scanners, or medical imaging) are often used in applications that require measurements. The applications include medical diagnostics and criminal site investigation. The lecture presents methods that will be used to describe the quality and accuracy of 3D data obtained from the scanner through data processing.

Seminar photos: 
Przemysław Kowalski - Jakość i dokładność w danych 3DPrzemysław Kowalski - Jakość i dokładność w danych 3D

Historia zmian

Data aktualizacji: 18/06/2018 - 09:35; autor zmian: ()

The lecture presents the need to analyze the quality and accuracy of 3D data. 3D data (acquired by 3D scanners, or medical imaging) are often used in applications that require measurements. The applications include medical diagnostics and criminal site investigation. The lecture presents methods that will be used to describe the quality and accuracy of 3D data obtained from the scanner through data processing.

Data aktualizacji: 11/05/2018 - 11:37; autor zmian: ()

The lecture presents the need to analyze the quality and accuracy of 3D data. 3D data (acquired by 3D scanners, or medical imaging) are often used in applications that require measurements. The applications include medical diagnostics and criminal site investigation. The lecture presents methods that will be used to describe the quality and accuracy of 3D data obtained from the scanner through data processing.

Data aktualizacji: 24/03/2018 - 08:41; autor zmian: Jarosław Miszczak (miszczak@iitis.pl)

The lecture presents the need to analyze the quality and accuracy of 3D data. 3D data (acquired by 3D scanners, or medical imaging) are often used in applications that require measurements. The applications include medical diagnostics and criminal site investigation. The lecture presents methods that will be used to describe the quality and accuracy of 3D data obtained from the scanner through data processing.

Data aktualizacji: 24/03/2018 - 08:41; autor zmian: Jarosław Miszczak (miszczak@iitis.pl)

The lecture presents the need to analyze the quality and accuracy of 3D data. 3D data (acquired by 3D scanners, or medical imaging) are often used in applications that require measurements. The applications include medical diagnostics and criminal site investigation. The lecture presents methods that will be used to describe the quality and accuracy of 3D data obtained from the scanner through data processing.

Data aktualizacji: 21/03/2018 - 09:54; autor zmian: Zbigniew Puchała (zbyszek@iitis.pl)

The lecture presents the need to analyze the quality and accuracy of 3D data. 3D data (acquired by 3D scanners, or medical imaging) are often used in applications that require measurements. The applications include medical diagnostics and criminal site investigation. The lecture presents methods that will be used to describe the quality and accuracy of 3D data obtained from the scanner through data processing.

Data aktualizacji: 21/03/2018 - 09:54; autor zmian: Zbigniew Puchała (zbyszek@iitis.pl)

The lecture presents the need to analyze the quality and accuracy of 3D data. 3D data (acquired by 3D scanners, or medical imaging) are often used in applications that require measurements. The applications include medical diagnostics and criminal site investigation. The lecture presents methods that will be used to describe the quality and accuracy of 3D data obtained from the scanner through data processing.

Data aktualizacji: 21/03/2018 - 09:53; autor zmian: Zbigniew Puchała (zbyszek@iitis.pl)

The lecture presents the need to analyze the quality and accuracy of 3D data. 3D data (acquired by 3D scanners, or medical imaging) are often used in applications that require measurements. The applications include medical diagnostics and criminal site investigation. The lecture presents methods that will be used to describe the quality and accuracy of 3D data obtained from the scanner through data processing.

Data aktualizacji: 21/03/2018 - 09:53; autor zmian: Zbigniew Puchała (zbyszek@iitis.pl)