Automatic processes on seismic data using pattern recognition is one of the interesting fields in geophysical data interpretation. One part is the seismic object detection using different supervised classification methods that finally has an output as a probability cube. Object detection process starts with generating a pickset of two classes labeled as object and non-object and then selecting ...

HISTORICAL BACKGROUND As the holy grail of computer vision research is to tell a story from a single image or a sequence of images, object recognition has been studied for more than four decades [9] [22]. Significant efforts have been paid to develop representation schemes and algorithms aiming at recognizing generic objects in images taken under different imaging conditions (e.g., viewpoint, i...

The dominant approaches to theorizing about and modeling human object recognition are the view-based approach, which holds that we mentally represent objects in terms of the (typically 2-dimensional; 2-D) coordinates of their visible 2-D features, and the structural description approach, which holds that we represent objects in terms of the (typically categorical) spatial relations among their ...

Object recognition is a subproblem of the more general problem of perception, and can be defined as follows. Given a scene consisting of one or more objects, can we identify and localize those objects that are sufficiently visible to the sensory system? It is generally assumed that a description of each object to be recognized is available to the computer and can be used to facilitate the task ...