In this paper we present the problem that arise when template matching is applied to two images of the same objects displaced in both axis, and how this problem has effect at the detection of imperfections with precision near the pixel. Also we show up a solution through the use of two master images. These images achieved through non-linear processing applied to original image based on morphological processing. In this way, we demonstrate that is possible to detect imperfections with resolutions near to pixel-level
Abstract—This paper proposes a novel method for matching images. The results can be used for a varie...
We propose a new approach for 3D shape matching of deformable human shapes. Our approach is based on...
Non-rigid object alignment is especially challenging when only a single appearance template is avail...
Template matching, as an important topic in image processing, is the process of matching a clean and...
This report discusses different quantitative measures of similarity, or measures of match, between s...
This paper presents two new image algebra image-template operations match and mismatch derived from...
Template matching by means of crosscorrelation is common practice in pattern recognition. However, i...
In most computer vision and image analysis problems, it is necessary to define a similarity measure ...
International audienceTemplate matching is a fundamental problem in image analysis and computer visi...
Template matching by means of cross-correlation is common practice in pattern recognition. However, ...
Template matching is a simple image detection algorithm that can easily detect different types of ob...
This paper addresses a problem of robust, accurate and fast object detection in complex environments...
[[abstract]]A method for matching images includes the step of providing a template image and an inpu...
<p>Example for an automatically generated matching template in the x-z plane. The blurring is larges...
We present a new method for automatically matching feature points over two images: after extracting ...
Abstract—This paper proposes a novel method for matching images. The results can be used for a varie...
We propose a new approach for 3D shape matching of deformable human shapes. Our approach is based on...
Non-rigid object alignment is especially challenging when only a single appearance template is avail...
Template matching, as an important topic in image processing, is the process of matching a clean and...
This report discusses different quantitative measures of similarity, or measures of match, between s...
This paper presents two new image algebra image-template operations match and mismatch derived from...
Template matching by means of crosscorrelation is common practice in pattern recognition. However, i...
In most computer vision and image analysis problems, it is necessary to define a similarity measure ...
International audienceTemplate matching is a fundamental problem in image analysis and computer visi...
Template matching by means of cross-correlation is common practice in pattern recognition. However, ...
Template matching is a simple image detection algorithm that can easily detect different types of ob...
This paper addresses a problem of robust, accurate and fast object detection in complex environments...
[[abstract]]A method for matching images includes the step of providing a template image and an inpu...
<p>Example for an automatically generated matching template in the x-z plane. The blurring is larges...
We present a new method for automatically matching feature points over two images: after extracting ...
Abstract—This paper proposes a novel method for matching images. The results can be used for a varie...
We propose a new approach for 3D shape matching of deformable human shapes. Our approach is based on...
Non-rigid object alignment is especially challenging when only a single appearance template is avail...