Object tracking in computer vision refers to the task of tracking individual moving objects accurately from one frame to another in an image sequence. Several tracking methods hav...
Image contrast enhancement plays an important role in many machine vision applications. In this study, we propose a new method for edge enhancement based on analysis on embedded s...
In many real-world applications such as face recognition and mobile robotics, we need to use an adaptive version of feature extraction techniques. In this paper, we introduce an a...
Applying computer vision technology to IR (Infra-Red) images for UAV (Unmanned Aerial Vehicle) applications is difficult due to its characteristics which differ from common image ...
Gloss is a property of paper that is used to emphasize print quality and color appearance. However, standard gloss measuring devices are not able to provide sufficiently accurate...
Tomi Kauppi, Albert Sadovnikov, Lasse Lensu, Joni-...
Shape matching plays an important role in many application fields. In this paper, we propose a novel rotation invariant 3D shape descriptor based on Hadamard transform and spheric...
This paper describes Japanese phone recognition for lip reading based on a novel feature called trajectory feature to obtain high recognition rate. Trajectory feature is a time ch...
There are numerous cadastral maps generated by past land surveying. For effective and efficient use of these maps, we have to assemble the set of maps to make them superimposable ...
of the fundamental challenges of human action recognition is accounting for the variability that arises during video capturing. For a specific action class, the 2D observations of...
In this paper, our goal is to reconstruct metric 3D models for large structures (or other 3D objects) from uncalibrated images. The internal camera parameters are estimated by usi...