In a two-dimensional pattern matching problem, a known template image has be located in another image, irrespective of the template's position, orientation and size in the image. One way to accomplish invariance to the changes in the template is by forming a set of feature vectors that encompass all the variations in the template. Matching is then performed by finding the best similarity betwee...

We introduce a novel algorithm for transposition-invariant contentbased polyphonic music retrieval. Our SIA(M)ESE algorithm is capable of finding transposition invariant occurrences of a given template, in a database of polyphonic music called a dataset. We allow arbitrary gapping, i.e., between musical events in the dataset that have been found to match points in the template, there may be any...

We introduce a novel algorithm for transposition-invariant contentbased polyphonic music retrieval. Our SIA(M)ESE algorithm is capable of finding transposition invariant occurrences of a given template, in a database of polyphonic music called a dataset. We allow arbitrary gapping, i.e., between musical events in the dataset that have been found to match points in the template, there may be any...

Template matching is a technique widely used for finding patterns in digital images. A good template matching should be able to detect template instances that have undergone geometric transformations. In this paper, we proposed a grayscale template matching algorithm named Ciratefi, invariant to rotation, scale, translation, brightness and contrast and its extension to color images. We introduc...

Object instance detection finds where a specific object instance is in an image or a video frame. It is a variation of object detection, but distinguished on two points. First, object detection focused on a category of object, while object instance detection focused on a specific object. For instance, object detection may work to find where toothpaste is in an image, while object instance detec...

The object recognition of the vision robot was studied in order to address problem how an industrial can rapidly and autonomously identify grasp a specified target workpiece under multi-target conditions, apply technology design intelligent grasping system for robots. research method is based on pattern image, detection positioning research, relationship between visual image grasping, proposed ...

How does one extract unknown but stereotypical events that are linearly superimposed within a signal with variable latencies and variable amplitudes? One could think of using template matching or matching pursuit to find the arbitrarily shifted linear components. However, traditional matching approaches require that the templates be known a priori. To overcome this restriction we use instead se...

Retrieval image by shape similarity, given a template shape is particularly challenging, owning to the difficulty to derive a similarity measurement that closely conforms to the common perception of similarity by humans. In this paper, a new method for the representation and comparison of shapes is present which is based on the shape matrix and snake model. It is scaling, rotation, translation ...