.1.1 What is Segmentation?

fig. 2). There are various hacks for finding such a break point. 3. Go back to the image and label all pixels according to the bump they belong to. 4. Distinguish background from foreground. This distinction is also performed by using various hacks. For example, one can simply assume that the biggest thing is the background. Another solution is to sample the four corners of the image and to assume that most corners are covered by the background. It is of course possible to use other trivial local properties for segmentation. partition background object Figure 1: Separating object pixels from background pixels by clustering the intensity histogram. 4.1.3 Motion Segmentation for Constrained Camera Motion Motion Segmentation is promising because motion cues are very important for grouping, i.e. for figuring out which color patches belong to the same object. There are, however, some difficulties in using motion for segmentation: ffl In ca