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TROB
2010
120views more  TROB 2010»
8 years 8 months ago
2-D Ultrasound Probe Complete Guidance by Visual Servoing Using Image Moments
This paper presents a visual-servoing method that is based on 2-D ultrasound (US) images. The main goal is to guide a robot actuating a 2-D US probe in order to reach a desired cro...
Rafik Mebarki, Alexandre Krupa, François Ch...
TIP
2010
93views more  TIP 2010»
8 years 8 months ago
Relevance of a Feed-Forward Model of Visual Attention for Goal-Oriented and Free-Viewing Tasks
A purely bottom-up model of visual attention is proposed and compared to five state-of-the-art models. The role of the low-level visual features is examined in two contexts. Two da...
Olivier Le Meur, Jean-Claude Chevet
JUCS
2011
161views more  JUCS 2011»
8 years 8 months ago
Document Retrieval Using SIFT Image Features
: This paper describes a new approach to document classification based on visual features alone. Text-based retrieval systems perform poorly on noisy text. We have conducted serie...
Dan Smith, Richard Harvey
COGCOM
2011
228views more  COGCOM 2011»
8 years 8 months ago
Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion
Where does one attend when viewing dynamic scenes? Research into the factors influencing gaze location during static scene viewing have reported that low-level visual features con...
Parag K. Mital, Tim J. Smith, Robin L. Hill, John ...
ICPR
2010
IEEE
8 years 11 months ago
A Framework for Hand Gesture Recognition and Spotting Using Sub-gesture Modeling
Hand gesture interpretation is an open research problem in Human Computer Interaction (HCI), which involves locating gesture boundaries (Gesture Spotting) in a continuous video se...
Manavender R. Malgireddy, Jason J. Corso, Sriranga...
EACL
2009
ACL Anthology
8 years 11 months ago
Who is "You"? Combining Linguistic and Gaze Features to Resolve Second-Person References in Dialogue
We explore the problem of resolving the second person English pronoun you in multi-party dialogue, using a combination of linguistic and visual features. First, we distinguish gen...
Matthew Frampton, Raquel Fernández, Patrick...
BMVC
2010
8 years 11 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
AR
1998
106views more  AR 1998»
9 years 1 months ago
A cognitive robot architecture based on tactile and visual information
In this paper, we propose an architecture for a cognitive robot based on tactile and visual information. Visual information contains various features such as location and area of ...
Kazunori Terada, Takayuki Nakamura, Hideaki Takeda...
JAIR
2007
124views more  JAIR 2007»
9 years 1 months ago
Closed-Loop Learning of Visual Control Policies
In this paper we present a general, flexible framework for learning mappings from images to actions by interacting with the environment. The basic idea is to introduce a feature-...
Sébastien Jodogne, Justus H. Piater
JMM2
2008
160views more  JMM2 2008»
9 years 1 months ago
A Film Classifier Based on Low-level Visual Features
We propose an approach to classify the film classes by using low level features and visual features. This approach aims to classify the films into genres. Our current domain of stu...
Hui-Yu Huang, Weir-Sheng Shih, Wen-Hsing Hsu
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