This paper presents a 3D object recognition method that exploits the spatio-temporal coherence of image sequences to capture the object most relevant features. We start from an im...
In this paper we propose a novel scheme to combine offline and online features of handwritten strokes. The stateof-the-art methods in handwritten stroke recognition have used a pr...
C. V. Jawahar, Karteek Alahari, Satya Lahari Putre...
Signature identification and verification has been a topic of interest and importance for many years in the area of biometrics. In this paper we present an effective method to per...
Stephane Armand, Michael Blumenstein, Vallipuram M...
This paper presents a method for real-time 3D hand tracking in images acquired by a calibrated, possibly moving stereoscopic rig. The proposed method consists of a collection of t...
In this paper we present the generalization of the automatic face recognition system, presented in [1], making it able to deal with different expressions and the presence of spect...
Giuseppe Lipori, Paola Campadelli, Raffaella Lanza...
In this paper we consider face recognition from sets of face images and, in particular, recognition invariance to illumination. The main contribution is an algorithm based on the ...
We describe a real-time, low-cost system to localize a mobile robot in outdoor environments. Our system relies on stereo vision to robustly estimate frame-to-frame motion in real ...
This paper presents a fast and efficient method to determine intervertebral disk orientation in a magnetic resonance (MR) image of the spine. The algorithm originates from active ...
Amer Abufadel, Gregory G. Slabaugh, Gozde B. Unal,...
This paper presents an event detector for emergencies in crowds. Assuming a single camera and a dense crowd we rely on optical flow instead of tracking statistics as a feature to ...
Ernesto L. Andrade, Scott Blunsden, Robert B. Fish...