A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
The Discriminative Generalized Hough Transform as a Proposal Generator for a Deep Network in Automatic Pedestrian Localization
2018
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Preserved Fulltext
We propose an efficient pedestrian detection framework consisting of a proposal generation step based on the Discriminative Generalized Hough Transform and a rejection step based on a deep convolutional ...
The image scaling approach requires a separate feature extraction for each scale as applied in (Gabriel et al., 2017) . ...
Discriminative Generalized Hough Transform The Generalized Hough Transform (GHT) (Ballard, 1981) is well-known as a general model-based approach for object localization. ...
doi:10.5220/0006542401690176
dblp:conf/visapp/GabrielSM18
fatcat:4pnyyonppzghflvof64z36pidq
Invariant Hough Random Ferns for Object Detection and Tracking
2014
Mathematical Problems in Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper introduces an invariant Hough random ferns (IHRF) incorporating rotation and scale invariance into the local feature description, random ferns classifier training, and Hough voting stages. ...
The efficacy of this approach is validated through experiments on a large set of challenging benchmark datasets, and the results demonstrate that the proposed method outperforms state-of-the-art conventional ...
One specific subtype of this part-based detecting model is the implicit shape model (ISM) [28] , which is a well-known approach based on the generalized Hough transform technique. ...
doi:10.1155/2014/513283
fatcat:6d2ajxv5krhabf5lvoepazbkbi
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images
2017
IEEE Transactions on Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
To learn more data-adaptive and patient specific models, we propose a novel stratification based training model, and demonstrate its use in a decision forest. ...
However, trained models may not generalize well in heterogeneous datasets when the images contain large differences due to size, pose and shape variations of organs. ...
The research was also co-funded by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Imperial College Healthcare NHS Trust, and by the Engineering and Physical Sciences ...
doi:10.1109/tmi.2016.2597270
pmid:28055830
fatcat:rklchx32nrbwjglvkca6oaxaxe
Fast PRISM: Branch and Bound Hough Transform for Object Class Detection
2010
International Journal of Computer Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
It thereby gives a sound justification to the voting procedure and imposes minimal constraints. ...
The PRincipled Implicit Shape Model (PRISM) overcomes these problems by interpreting Hough voting as a dual implementation of linear slidingwindow detection. ...
Acknowledgements The authors wish to thank the Swiss National Fund (SNF) for support through the CASTOR project . ...
doi:10.1007/s11263-010-0342-x
fatcat:fenhe3yqyzb3hn2ncblydaxacy
Visual Object Recognition
2011
Synthesis Lectures on Artificial Intelligence and Machine Learning
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
via sliding windows; Hough voting; Generalized distance transform; the Implicit Shape Model; the Deformable Part-based Model vii Contents ...
; visual vocabularies and bags-of-words; methods to verify geometric consistency according to parameterized geometric transformations; dealing with outliers in correspondences, RANSAC and the Generalized ...
Acknowledgments This project began after we gave a tutorial on the subject at AAAI 2008; we thank the conference organizers for hosting that event and the attendees for their questions and feedback. ...
doi:10.2200/s00332ed1v01y201103aim011
fatcat:fhz7aokkfjav7fuauuorfstq4y
Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision
2018
IEEE/CAA Journal of Automatica Sinica
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
A large number of existing results focus on the study of vision-based lane detection methods due to the extensive knowledge background and the low-cost of camera devices. ...
Finally, a discussion on the limitations of current lane detection systems and the future developing trends toward an Artificial Society, Computational experiment-based parallel lane detection framework ...
In [18] , a real-time lane detection system based on FPGA and DSP was designed based on lane gradient amplitude features and an improved Hough Transform. ...
doi:10.1109/jas.2018.7511063
fatcat:tjewl25slfb2ngxlrlalktksvy
Viewpoint-aware object detection and continuous pose estimation
2012
Image and Vision Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Our method relies on a nonparametric representation of a joint distribution of shape and appearance of the object class. ...
We evaluate the performance of our approach in detection and pose estimation of cars on a number of benchmark datasets. ...
Each match generates a vote, in the spirit of [4] and other methods inspired by Hough transform. ...
doi:10.1016/j.imavis.2012.09.006
fatcat:pdh5j6uhybdixiq4kzxk5xksfa
Object Detection in Real Images
[article]
2013
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We also propose a new hierarchical codebook, which provides good generalization and discriminative properties. ...
The codebook enables fast multi-path inference mechanisms based on propagation of conditional likelihoods, that make it robust to occlusion and noise. It has the capability of dynamic learning. ...
Leung for providing me with the opportunity to work on this project. I am also sincerely thankful for his patience and enthusiastic guidance. ...
arXiv:1302.5189v1
fatcat:qdjqvh44qra6lemyu7nzpsldfa
Geometric Hypergraph Learning for Visual Tracking
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Besides, a confidence-aware sampling method is developed to select representative vertices and hyperedges to construct the geometric hypergraph for more robustness and scalability. ...
The experiments are carried out on two challenging datasets (VOT2014 and Deform-SOT) to demonstrate that the proposed method performs favorable against other existing trackers. ...
[13] develop an improved online Hough Forests and couple the voting based detection and back-projection with a rough segmentation based on GrabCut. ...
arXiv:1603.05930v1
fatcat:7p7styik6redzaalvpay6jjaa4
Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review
2013
Computerized Medical Imaging and Graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
If the automatic methods are improved in terms of accuracy and generalization; they will serve as a benchmark for the clinicians to diagnose the disease based on measurements obtained by using those methods ...
[43] extracted out vasculature structure based on tensor voting. Tensor voting is the voting process of the expected candidates based on geometrical features. ...
doi:10.1016/j.compmedimag.2013.09.005
pmid:24139134
fatcat:do4s63qepvbodgx4iegyw65p7e
Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: A State of the Art Review
2019
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light Detection and Ranging (lidar) technology that has been utilized for a wide range of applications. ...
The methods for object recognition and point cloud classification are further reviewed including both the general concepts as well as technical details. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. ...
doi:10.3390/s19040810
fatcat:lvi4ty5qkvdqznwy6vx24buax4
Exploiting temporal and spatial constraints in traffic sign detection from a moving vehicle
2011
Machine Vision and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The second stage improves the precision by filtering the detection tracks by a learned discriminative model. ...
The two stages have been evaluated in extensive experiments performed on videos acquired from a moving vehicle. ...
The project web site is at http://mastif.zemris.fer.hr The research has been additionally supported by the Austrian-Croatian bilateral programme funded by the Austrian Agency for International Mobility ...
doi:10.1007/s00138-011-0396-y
fatcat:mdvnlnn6jrctpc2m2z3c56zbty
Automated Diagnosis of Otitis Media: Vocabulary and Grammar
2013
International Journal of Biomedical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We also design a process to combine the vocabulary terms based on the decision process used by otoscopists; we term this theotitis media grammar. ...
To that end, we design a feature set understood by both otoscopists and engineers based on the actual visual cues used by otoscopists; we term this theotitis media vocabulary. ...
Jian Li for his work on features, and Miss Lakshmi Dhevi Jayagobi for implementing the random forest classifier. they follow the principles of reproducible research. ...
doi:10.1155/2013/327515
pmid:23997759
pmcid:PMC3749602
fatcat:s4t2aykj6nhirj5tf3k4lr55my
Counting and Classification of Malarial Parasite from Giemsa-Stained Thin Film Images
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The counting process is performed by computer vision techniques, namely Hough transform. ...
The proposed framework consists of two main parts that are red blood cell counting and parasite life-cycle stage classification. ...
Chairat Uthaipibull from the Protein-Ligand Engineering and Molecular Biology laboratory, National Center for Genetic Engineering and Biotechnology (BIOTEC), Thailand, for providing and validating Giemsa-stained ...
doi:10.1109/access.2020.2990497
fatcat:3bsme2rpdrapfkmbh7xemsiwy4
Representations and Techniques for 3D Object Recognition and Scene Interpretation
2011
Synthesis Lectures on Artificial Intelligence and Machine Learning
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This research was funded in part by NSF CAREER award IIS-0546547 and a Microsoft Research Fellowship. We also thank the reviewers for their kindly admonitions to expand derivation and discussion. ...
example, Kevin Murphy for creating the Bayes Net Toolbox, and Antonio Torralba for making the gist code available. ...
The ISM is in essence a probabilistic extension of the generalized Hough voting transform [6, 137] . ...
doi:10.2200/s00370ed1v01y201107aim015
fatcat:762pgoqa5jhwlji7w4laoiu3ym
« Previous
Showing results 1 — 15 out of 197 results