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Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scenes

Sergio Escalera, Oriol Pujol, Petia Radeva
2007 Pattern Recognition Letters  
To detect a sample of the object class, Boosted Landmarks identify landmark candidates in the image and define a constellation of contextual descriptors able to capture the spatial relationship among them  ...  In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-class object recognition  ...  Our goal in this paper is 2-fold: first, we introduce a novel approach for detection of objects in cluttered scenes based on Boosted Landmarks to identify landmark candidates in the image.  ... 
doi:10.1016/j.patrec.2007.05.007 fatcat:spdqhzbpjrcm7oj3v2dwayhiui

Robust automated constellation-based landmark detection in human brain imaging

Ali Ghayoor, Jatin G. Vaidya, Hans J. Johnson
2018 NeuroImage  
Detection of primary midbrain landmarks are used as the foundation from which extended detection of an arbitrary set of secondary landmarks in different brain regions by applying a linear model estimation  ...  A robust fully automated algorithm for identifying an arbitrary number of landmark points in the human brain is described and validated.  ...  and Women's Hospital), and Enterprise Storage in a Collaborative Neuroimaging Environment (S10 RR023392 / NCCR Shared Instrumentation Grant).  ... 
doi:10.1016/j.neuroimage.2017.04.012 pmid:28392490 pmcid:PMC5630513 fatcat:n6dkg6dmffeotkpru7zy3atgly

Learning human motion models from unsegmented videos

Roman Filipovych, Eraldo Ribeiro
2008 2008 IEEE Conference on Computer Vision and Pattern Recognition  
We present a novel method for learning human motion models from unsegmented videos.  ...  We test the model on a publicly available action dataset and demonstrate that our new method performs well on a number of classification tasks.  ...  Office of Naval Research's contract: N00014-05-1-0764.  ... 
doi:10.1109/cvpr.2008.4587724 dblp:conf/cvpr/FilipovychR08 fatcat:gycafj3bb5hkzdquewze3hgfam

SConE: Siamese Constellation Embedding Descriptor for Image Matching [article]

Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Grzegorz Kurzejamski, Simon Lynen
2018 arXiv   pre-print
To that end, we use a Siamese architecture that learns a low-dimensional feature embedding of keypoint constellation by maximizing the distances between non-corresponding pairs of matched image patches  ...  In this paper we propose a novel, more discriminative, descriptor that includes not only local feature representation, but also information about the geometric layout of neighbouring keypoints.  ...  For SConE, we first use FAST [26] key point detection algorithm. Then we compute FREAK feature descriptors at detected keypoints.  ... 
arXiv:1809.11054v1 fatcat:nt4cltfeazgadfrblyrii6hxqu

SConE: Siamese Constellation Embedding Descriptor for Image Matching [chapter]

Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Grzegorz Kurzejamski, Simon Lynen
2019 Lecture Notes in Computer Science  
To that end, we use a Siamese architecture that learns a low-dimensional feature embedding of keypoint constellation by maximizing the distances between non-corresponding pairs of matched image patches  ...  In this paper we propose a novel, more discriminative, descriptor that includes not only local feature representation, but also information about the geometric layout of neighbouring keypoints.  ...  For SConE, we first use FAST [26] key point detection algorithm. Then we compute FREAK feature descriptors at detected keypoints.  ... 
doi:10.1007/978-3-030-11009-3_24 fatcat:dbhqq4jsn5anrolheiwe53aixm

Diagnostically relevant facial gestalt information from ordinary photos

Quentin Ferry, Julia Steinberg, Caleb Webber, David R FitzPatrick, Chris P Ponting, Andrew Zisserman, Christoffer Nellåker
2014 eLife  
As a first step towards the high-throughput diagnosis of ultra-rare developmental diseases we introduce an automatic approach that implements recent developments in computer vision.  ...  We demonstrate that this approach provides a novel method for inferring causative genetic variants from clinical sequencing data through functional genetic pathway comparisons.  ...  Acknowledgements We would like to thank Dr Zameel Cader for advice at the initiation of this project.  ... 
doi:10.7554/elife.02020 pmid:24963138 pmcid:PMC4067075 fatcat:yamrwvayabhrhff5fhrs7sm62q

Feature-Based Face Detection: A Survey

2018 Iraqi Journal for Computers and Informatics  
, whenever this step accurate the result of face recognition will be better, this paper introduce a survey of techniques and methods of feature based face detection.  ...  for face recognition, face detection, face tracking, as yet new algorithms for building fully automated system are required, these algorithms should be robust and efficient.  ...  Just like skin color, skin also has a texture feature that can be exploit to isolate face from background, In [20] , a novel detection algorithim is proposed uses combination of edge and sckin color features  ... 
doi:10.25195/2017/4414 fatcat:2xacgku6orbghbutve2lxrso6m

A Survey of Feature Base Methods for Human Face Detection

Hiyam Hatem, Zuo Beiji, Raed Majeed
2015 International Journal of Control and Automation  
Moreover, in recent years a lot of pattern recognition and heuristic based methods have been proposed for detecting human face in images and videos [2] .  ...  Face feature detection techniques can be mainly divided into two kinds of approaches are Feature base and image base approach.  ...  Then a novel edge tracking algorithm is applied to extract the sub windows from the enhanced image based on edges.  ... 
doi:10.14257/ijca.2015.8.5.07 fatcat:njcpgsjgdvfgvmvw5ayxz53s7e

Facial feature extraction techniques for face detection: A review

Moumita Roy, Madhura Datta
2014 JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES  
The main challenge in this stage of face detection is to find a suitable effective method for finding facial features.  ...  In this paper we represented a review on some important contribution in the field of feature extraction for face detection.  ...  [3] presented a novel genetic algorithm based optimization approach for facial modeling. Terillon et al.  ... 
doi:10.26782/jmcms.2014.01.00008 fatcat:be5e2ltvmvedjhgb5uvijm5rxe

A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missions [article]

Mohammed Salah, Mohammed Chehadah, Muhammed Humais, Mohammed Wahbah, Abdulla Ayyad, Rana Azzam, Lakmal Senevirante, Yahya Zweiri
2022 arXiv   pre-print
A novel event-based landmark identification algorithm using Gaussian Mixture Models (GMM) is developed for matching the landmarks correspondences formulating our NVBMs.  ...  Driven by this necessity, this work proposes a robust relative localization system based on a fusion of neuromorphic vision-based measurements (NVBMs) and inertial measurements.  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the efforts of Osama Abdulhay in the experiments.  ... 
arXiv:2206.11541v1 fatcat:jxiizjb2vbe57iucaq4sfpsfhe

Efficient Migration of Complex Off-Line Computer Vision Software to Real-Time System Implementation on Generic Computer Hardware

J.A. Tyrrell, J.M. LaPre, C.D. Carothers, B. Roysam, C.V. Stewart
2004 IEEE Transactions on Information Technology in Biomedicine  
This paper addresses the problem of migrating large and complex computer vision code bases that have been developed off-line, into efficient real-time implementations avoiding the need for rewriting the  ...  Creative linking strategies based on Linux loadable kernel modules are presented to create a simultaneous realization of real-time and off-line frame rate computer vision systems from a single code base  ...  Fig. 5 . 5 Illustrating the quasi-invariant indexing-based approach to fast spatial referencing: (a) sample digital retinal image; (b) results of opportunistic extraction of a landmark constellation; (  ... 
doi:10.1109/titb.2004.828883 pmid:15217259 fatcat:o6vmpzpmpvcrhnwmtosgf5uhya

Principles of goal-directed spatial robot navigation in biomimetic models

M. Milford, R. Schulz
2014 Philosophical Transactions of the Royal Society of London. Biological Sciences  
Most state-of-the-art robotic navigation systems employ a range of sensors, world representations and navigation algorithms that seem far removed from what we know of how animals navigate; their navigation  ...  systems are shaped by key principles of navigation in 'real-world' environments including dealing with uncertainty in sensing, landmark observation and world modelling.  ...  During exploration, place cells became associated with a specific spatial constellation of landmarks.  ... 
doi:10.1098/rstb.2013.0484 pmid:25267826 pmcid:PMC4186237 fatcat:7s7sywg2r5belfwvupwxzcgdmq

A review of the evolution of the integrity methods applied in GNSS

Paul Zabalegui, Gorka De Miguel, Alejandro Perez, Jaizki Mendizabal, Jon Goya, Inigo Adin
2020 IEEE Access  
The use of GNSS technologies has been spreading over time up to a point in which a huge diversity of applications require their use.  ...  Afterward, an explanation and a classification of the integrity monitoring techniques is given, where the fault detection and exclusion methods and different protection level computation formulas are analyzed  ...  CLASSIFICATION OF NOVEL RAIM TECHNIQUES Originally, the RAIM method was developed for airplane integrity monitoring.  ... 
doi:10.1109/access.2020.2977455 fatcat:gwwrllia2rgbti76rgrex4z2ve

Visual-UWB Navigation System for Unknown Environments [article]

Qin Shi, Xiaowei Cui, Wei Li, Yu Xia, Mingquan Lu
2019 arXiv   pre-print
In this paper, we present a novel accurate, robust and low-cost GNSS-independent navigation system, which is composed of a monocular camera and Ultra-wideband (UWB) transceivers.  ...  The 6 Degrees of Freedom (DoF) state of the vehicles and the map are estimated by minimizing the UWB ranging errors and landmark reprojection errors.  ...  To build the map in advance, a visual SLAM algorithm is performed.  ... 
arXiv:1912.01178v1 fatcat:vo3qhghfp5hvbgaxl4inqsiceu

Mobile robot localization using panoramic vision and combinations of feature region detectors

Arnau Ramisa, Adriana Tapus, Ramon Lopez de Mantaras, Ricardo Toledo
2008 2008 IEEE International Conference on Robotics and Automation  
The new approach uses a constellation of different types of affine covariant regions to characterize a place. This type of representation permits a reliable and distinctive environment modeling.  ...  This paper presents a vision-based approach for mobile robot localization. The environmental model is topological.  ...  The bigger the inliers subset, the more similar the novel constellation and the map node.  ... 
doi:10.1109/robot.2008.4543262 dblp:conf/icra/RamisaTMT08 fatcat:h3uq5sc4engitlrzyipmhqoyka
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