Computer Vision and Image Understanding : Cviu
Overview
Computer Vision and Image Understanding (CVIU) is a renowned journal that focuses on the latest advancements in computer vision and image processing. It covers a wide range of topics including image analysis, pattern recognition, machine learning, and visual perception. With its rigorous peer-review process, CVIU provides a platform for researchers and practitioners to share their innovative research and contribute to the field of computer vision.
Details
Details
Abbr.
Comput Vis Image Underst
Start
1995
End
Continuing
Frequency
Monthly, <1997- >
p-ISSN
1077-3142
Country
United States
Language
English
Metrics
Metrics
h-index / Ranks: 1374
152
SJR / Ranks: 2150
1420
CiteScore / Ranks: 1650
9.40
JIF / Ranks: 1882
4.5
Recent Articles
11.
Prankl J, Zillich M, Vincze M
Comput Vis Image Underst
. 2014 Feb;
117(6):718-731.
PMID: 24511219
Detecting elements such as planes in 3D is essential to describe objects for applications such as robotics and augmented reality. While plane estimation is well studied, table-top scenes exhibit a...
12.
Chou C, Frederick B, Mageras G, Chang S, Pizer S
Comput Vis Image Underst
. 2013 Sep;
117(9):1095-1106.
PMID: 24058278
In computer vision and image analysis, image registration between 2D projections and a 3D image that achieves high accuracy and near real-time computation is challenging. In this paper, we propose...
13.
Lee J, Sandhu R, Tannenbaum A
Comput Vis Image Underst
. 2013 Sep;
117(8):922-933.
PMID: 24058277
In this paper, we address the problem of 2D-3D pose estimation. Specifically, we propose an approach to jointly track a rigid object in a 2D image sequence and to estimate...
14.
Chen X, He H, Zou G, Zhang X, Gu X, Hua J
Comput Vis Image Underst
. 2013 Sep;
117(9):1107-1118.
PMID: 24019739
This paper presents an improved Euclidean Ricci flow method for spherical parameterization. We subsequently invent a scale space processing built upon Ricci energy to extract robust surface features for accurate...
15.
Toth R, Ribault J, Gentile J, Sperling D, Madabhushi A
Comput Vis Image Underst
. 2013 Sep;
117(9):1051-1060.
PMID: 23997571
In this work we present an improvement to the popular Active Appearance Model (AAM) algorithm, that we call the Multiple-Levelset AAM (MLA). The MLA can simultaneously segment multiple objects, and...
16.
Sparks R, Madabhushi A
Comput Vis Image Underst
. 2013 Jul;
117(9):1138-1146.
PMID: 23888106
Gleason patterns of prostate cancer histopathology, characterized primarily by morphological and architectural attributes of histological structures (glands and nuclei), have been found to be highly correlated with disease aggressiveness and...
17.
Chen X, Udupa J, Alavi A, Torigian D
Comput Vis Image Underst
. 2013 Apr;
117(5):513-524.
PMID: 23585712
Image segmentation methods may be classified into two categories: purely image based and model based. Each of these two classes has its own advantages and disadvantages. In this paper, we...
18.
Yi C, Tian Y
Comput Vis Image Underst
. 2013 Jan;
117(2):182-194.
PMID: 23316111
In this paper, we propose a novel algorithm to detect text information from natural scene images. Scene text classification and detection are still open research topics. Our proposed algorithm is...
19.
Bogovic J, Prince J, Bazin P
Comput Vis Image Underst
. 2013 Jan;
117(2):145-157.
PMID: 23316110
Deformable models are widely used for image segmentation, most commonly to find single objects within an image. Although several methods have been proposed to segment multiple objects using deformable models,...
20.
Sohn B, Bajaj C, Siddavanahalli V
Comput Vis Image Underst
. 2011 Sep;
96(3):435-452.
PMID: 20072724
We develop a volumetric video system which supports interactive browsing of compressed time-varying volumetric features (significant isosurfaces and interval volumes). Since the size of even one volumetric frame in a...