User profiles for Dirk Smeets
Dirk Smeetsicometrix, Vrije Universiteit Brussel (VUB) Verified email at icometrix.com Cited by 6783 |
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
<?Pub Dtl=""?> EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010)
is a public platform for fair and meaningful comparison of registration algorithms which are …
is a public platform for fair and meaningful comparison of registration algorithms which are …
Longitudinal multiple sclerosis lesion segmentation: resource and challenge
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation
challenge providing training and test data to registered participants. The training data …
challenge providing training and test data to registered participants. The training data …
[HTML][HTML] Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images
The location and extent of white matter lesions on magnetic resonance imaging (MRI) are
important criteria for diagnosis, follow-up and prognosis of multiple sclerosis (MS). Clinical …
important criteria for diagnosis, follow-up and prognosis of multiple sclerosis (MS). Clinical …
A comparison of methods for non-rigid 3D shape retrieval
Non-rigid 3D shape retrieval has become an active and important research topic in content-based
3D object retrieval. The aim of this paper is to measure and compare the performance …
3D object retrieval. The aim of this paper is to measure and compare the performance …
SHREC 2011: robust feature detection and description benchmark
Feature-based approaches have recently become very popular in computer vision and image
analysis applications, and are becoming a promising direction in shape retrieval. SHREC'…
analysis applications, and are becoming a promising direction in shape retrieval. SHREC'…
[PDF][PDF] SHREC'10 Track: Non-rigid 3D Shape Retrieval.
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer
graphics, computer vision, pattern recognition, etc. In this paper, we present the results of the …
graphics, computer vision, pattern recognition, etc. In this paper, we present the results of the …
meshSIFT: Local surface features for 3D face recognition under expression variations and partial data
D Smeets, J Keustermans, D Vandermeulen… - Computer Vision and …, 2013 - Elsevier
Matching 3D faces for recognition is a challenging task caused by the presence of expression
variations, missing data, and outliers. In this paper the meshSIFT algorithm and its use for …
variations, missing data, and outliers. In this paper the meshSIFT algorithm and its use for …
Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification
In this paper, a specific method is presented to facilitate the semi-automatic segmentation of
liver tumors and liver metastases in CT images. Accurate and reliable segmentation of …
liver tumors and liver metastases in CT images. Accurate and reliable segmentation of …
Feature detection on 3D face surfaces for pose normalisation and recognition
This paper presents a SIFT algorithm adapted for 3D surfaces (called meshSIFT) and its
applications to 3D face pose normalisation and recognition. The algorithm allows reliable …
applications to 3D face pose normalisation and recognition. The algorithm allows reliable …
Objective 3D face recognition: Evolution, approaches and challenges
Face recognition is a natural human ability and a widely accepted identification and authentication
method. In modern legal settings, a lot of credence is placed on identifications made …
method. In modern legal settings, a lot of credence is placed on identifications made …