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Stereo Algorithm

An area based correlation with SAD (Sum of Absolute Differences) is done on band passed images.
The algorithm is fairly robust and it has a number of validation steps that reduce the level of noise.
The method requires texture and contrast to work correctly. Occlusions, repetitive features and specularities can cause problems.
Stereo can be performed with both 2-camera and 3-camera stereo configurations

Speed

This chart illustrates the speed of the Triclops™ SDK using a 640x480 B&W Digiclops^® on a P4 2.4GHz PC. The Digiclops^® baseline is 10cm. The Bumblebee^® baseline is 12cm and is therefore more accurate.
The disparity range was selected so that it corresponds to a distance range of 0.5m to infinity
The data was obtained using the demo program that is supplied with the Triclops SDK
The number of disparities is proportional to the speed. Therefore, if you cut the number of disparities in half, the system will run roughly twice as fast. The speed of processing is independent of the mask size.

T = Texture, U = Uniqueness, S = Segmentation

Performance

Download Triclops library performance figures measured over different processor and memory configurations

Accuracy

Download our Point Grey Stereo Accuracy chart to calculate approximate accuracy measurements based on camera options.

Processor
- Recommended – Intel Pentium^® 4 2.0 GHz or compatible processor
- Minimum – Intel Pentium III 800 MHz or compatible processor
Memory
- Recommended – 512 MB RAM
- Minimum - 256 MB RAM
AGP video card with 64 MB video memory (128 MB recommended)
32-bit standard PCI slot for the IEEE-1394 card
Supported operating system
Microsoft Visual C++ 6.0 (to compile and run example code)