Computer vision: Difference between revisions
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===Other Approaches=== | ===Other Approaches=== | ||
There are four main methods for implementing computer vision and object detection | There are four main methods for implementing computer vision and object detection: [[#Salient point and blob detection|salient point and blob detection]], [[#Scale-space methods|scale-space methods]], [[#Template matching methods|template-matching methods]], [[#Edge and boundary detection|edge and boundary detection]]. | ||
All of these methods look primarily at local features of objects. Even with our advanced recognition systems, we are still unable to fully consider the scene in its entirety and capture the big picture in the same way humans can. To overcome this issues, it is crucial to develop higher-level scene classification systems and frameworks, which will definitely be the focal point of all future development. | All of these methods look primarily at local features of objects. Even with our advanced recognition systems, we are still unable to fully consider the scene in its entirety and capture the big picture in the same way humans can. To overcome this issues, it is crucial to develop higher-level scene classification systems and frameworks, which will definitely be the focal point of all future development. | ||