ZMaps bridge the gap between 2D users and 3D capabilities
The latest release of Aqsense Sl's library SAL3D 9.3 features Zmaps, which are described as flat data sets that extend the compatibility of two-dimensional (2D) machine-vision operations, making them applicable to inspecting three-dimensional (3D) bodies.
The Spanish software company says that combining the outcome of 3D digitising with conventional 2D processing algorithms eases the integration of functions like 'blob analysis', segmentation and contour detection. This approach enables machine-vision professionals to use the software library with which they are already familiar, and use it in applications that involve inspecting 3D bodies.
According to Aqsense, the SAL3D constitutes the first standardised, commercially available, modular software library for 3D machine vision applications that is completely hardware independent. The handled data type consists of point-cloud coordinates, which are real, floating-point scalars characterising the X, Y and Z axes. The standardisation of this framework permits the synergistic integration of available digitising technologies and configurations, such as laser triangulation, with single or multi-camera set-ups, stereo vision, time-of-flight devices and other sources of organised sets of points with cloud of points (CoP) processing software. This results in an extremely accurate and precise 3D digital model.
Ease-of-use and a high processing speed were the key factors for the development and success of this library, says the firm. As an example, two CoPs of one million points each can be aligned and compared in less than 0.5 seconds with just two operations.
In the latest SAL3D release, CoPs are projected on a plane - originating flat data sets. This ZMap representation keeps the metric characteristics of the CoP, without the undesired perspective distortion present in range-maps. These 2D representations then can be used as inputs by any commercial 2D library.
Contact:
Aqsense Sl
Parc CientĂfic i Tecnològic de la UdG
Ed. Jaume Casademont
Porta A, Despatx 23
C/ Pic de Peguera, 15
17003 Girona
Spain
Phone: +34-972-183-215
Fax: +34-972-487-487
Email: info@aqsense.com
Web: http://www.aqsense.com
The Spanish software company says that combining the outcome of 3D digitising with conventional 2D processing algorithms eases the integration of functions like 'blob analysis', segmentation and contour detection. This approach enables machine-vision professionals to use the software library with which they are already familiar, and use it in applications that involve inspecting 3D bodies.
According to Aqsense, the SAL3D constitutes the first standardised, commercially available, modular software library for 3D machine vision applications that is completely hardware independent. The handled data type consists of point-cloud coordinates, which are real, floating-point scalars characterising the X, Y and Z axes. The standardisation of this framework permits the synergistic integration of available digitising technologies and configurations, such as laser triangulation, with single or multi-camera set-ups, stereo vision, time-of-flight devices and other sources of organised sets of points with cloud of points (CoP) processing software. This results in an extremely accurate and precise 3D digital model.
Ease-of-use and a high processing speed were the key factors for the development and success of this library, says the firm. As an example, two CoPs of one million points each can be aligned and compared in less than 0.5 seconds with just two operations.
In the latest SAL3D release, CoPs are projected on a plane - originating flat data sets. This ZMap representation keeps the metric characteristics of the CoP, without the undesired perspective distortion present in range-maps. These 2D representations then can be used as inputs by any commercial 2D library.
Contact:
Aqsense Sl
Parc CientĂfic i Tecnològic de la UdG
Ed. Jaume Casademont
Porta A, Despatx 23
C/ Pic de Peguera, 15
17003 Girona
Spain
Phone: +34-972-183-215
Fax: +34-972-487-487
Email: info@aqsense.com
Web: http://www.aqsense.com
