Changes

==Image processing for markerless tracking==

==Image processing for markerless tracking==

Image processing applied to markerless tracking uses natural features in the images received to calculate the camera’s pose. One of the first applications that used natural features for tracking purposes was presented by Park et al., in +1998. <ref name=”1”></ref>

Image processing applied to markerless tracking uses natural features in the images received to calculate the camera’s pose. One of the first applications that used natural features for tracking purposes was presented by Park et al., in the year +1998. <ref name=”1”></ref>

Ziegler (2010) describes this approach as first extracting features from the frames of a video stream and then finding correspondences between succeeding frames. The camera’s pose calculation is made based on these correspondences. Features that where not detected in previous frames are stored and the system calculates their 3D coordinates in order to use them for future correspondence searches. If the system cannot establish a connection to previous frames, tracking fails. <ref name=”1”></ref>

Ziegler (2010) describes this approach as first extracting features from the frames of a video stream and then finding correspondences between succeeding frames. The camera’s pose calculation is made based on these correspondences. Features that where not detected in previous frames are stored and the system calculates their 3D coordinates in order to use them for future correspondence searches. If the system cannot establish a connection to previous frames, tracking fails. <ref name=”1”></ref>