The objective of the presented work is to improve the stability of interest point detection under illumination changes. The use of a global threshold is shown to be insufficient and three methods are proposed to enhance a state–of–the–art algorithm: the Harris corner detector. These methods are based on different principles: a local image normalization as preprocessing, a local threshold adapti...

With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesting research field. In 3D objects, the aim is to detect a few salient structures which can be used, instead of the whole object, for applications like object registration, retrieval, and mesh simplification. In this pap...

360° images are informative – it contains omnidirectional visual information around the camera. However, areas that cover a image is much larger than human’s field of view, therefore important in different view directions easily overlooked. To tackle this issue, we propose method for predicting optimal set Region Interest (RoI) from single using saliency as clue. deal with ...

the problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. in this paper we propose a new algorithm for eyes detection. first, the face region is extracted from the image by skin-color information. second, horizontal projection in image is used to approximate region of the eye be obtained . at last, the eye ce...