Abstract. In this paper, we present a novel method for multimodal gesture recognition based on neural networks. Our multi-stream recurrent neural network (MRNN) is a completely dat...
End-effectors are usually related to the location of the free end of a kinematic chain. Each of them contains rich structure information about the entity. Hence, estimating stable ...
Abstract. This paper proposes a multiple hypothesis tracking for multiple object tracking with moving camera. The proposed model makes use of the stability of sparse optical flow ...
Mohammad Hedayati, Michael J. Cree, Jonathan Scott
In recent years, there has been a dramatic increase in the number of images captured by users. This is due to the wide availability of digital cameras and mobile phones which are a...
Ali Retha Hasoon Khayeat, Xianfang Sun, Paul L. Ro...
Abstract. Iris segmentation is an important step in iris recognition as inaccurate segmentation often leads to faulty recognition. We propose an unsupervised, intensity based iris ...
This paper examines how the design of imaging hardware for multi-view 3D reconstruction affects the performance and complexity of the computer vision system as a whole. We examine...
Tom Botterill, Matthew Signal, Steven Mills, Richa...
Abstract. Sanitizable signatures, introduced by Ateniese et al. at ESORICS’05, allow to issue a signature on a message where certain predefined message blocks may later be chang...
We present a privacy-assured multiplication protocol using which an arbitrary arithmetic formula with inputs from two parties over a finite field Fp can be jointly computed on en...