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Saliency detection aims to find the useful and attractive regions from an image. In many situations, there may be multiple objects in the image, and these objects may have equal attractiveness. Moreover, the appearance of pixels in one object may demonstrate large difference, which could lead to lose the object integrality when detecting saliency. To this end, this paper proposes a multi-saliency...
Road shape estimation is important for the safe driving of intelligent vehicles. The common road shape models such as line/parabola, spline and clothoid are lacking of flexibility in various urban traffic scenes. In this paper, a robust road shape model which consists of multiple overlapped submaps is proposed. Each individual submap is represented by a smooth curve generated through Gaussian process(GP)...
This paper proposes a new probability iterative closest point approach with bounded scale based on expectation maximization (EM) estimation for scaling registration of point sets with noise. The bounded scale ICP algorithm can handle the case with different scales, but it could not effectively yield the alignment of point sets with noise. Aiming at improving the registration precision, a Gaussian...
One of the main bottle-necks in traditional facial age estimation is the lack of training sample problem. The rapid development of Internet provides us new chance to solve this problem. Unlimited number of facial images with their age labels can be collected through web mining technique. These images together with their surrounding text description make up the simplest cross-media data representation...
This paper describes an automated interaction for triggering the cricket's pheromone behavior by controlling a micro mobile robot based on pose estimation. In our developing systems a micro mobile robot : Ecobe mounted a cricket s head is introduced as a physical agent to interact with the cricket. Both of location of the cricket and mobile robot is estimated by on-line particle filter based color...
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