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Zero-Crossing Based Image Projections Encoding For Eye Localization

Corneliu Florea, Laura Florea, C. Vertan, Ruxandra Vranceanu
2012 Zenodo  
Hence we will name the resulting features Zero-crossing based Encoded image Projections (ZEP).  ...  The hereby proposed feature extraction is based on two existing concepts: Integral Projections and TESPAR (Time-Encoded Signal Processing And Recognition) zero crossing based encoding.  ... 
doi:10.5281/zenodo.52527 fatcat:rf7epbqavzfvvdyhtnqjxg7yi4

Robust Eye Centers Localization with Zero--Crossing Encoded Image Projections [article]

Laura Florea and Corneliu Florea and Constantin Vertan
2015 arXiv   pre-print
This paper proposes a new framework for the eye centers localization by the joint use of encoding of normalized image projections and a Multi Layer Perceptron (MLP) classifier.  ...  The encoding is novel and it consists in identifying the zero-crossings and extracting the relevant parameters from the resulting modes.  ...  Form the final Zero-crossing based Encoded image Projections (ZEP) feature by concatenation of the encoded projections.  ... 
arXiv:1503.07697v1 fatcat:5djfge3axbfmdhw3wk2n36jybq

Effectiveness of Feature Detectionoperators on the Performance of Iris Biometric Recognition System

Binsu C. Kovoor, Supriya M.H, K. Poulose Jacob
2013 International journal of network security and its applications  
analysis of different feature detection operators is performed, features extracted is encoded using Haar wavelets and for classification hammingdistance as a matching algorithm is used.  ...  By making use of the distinctiveness of iris patterns, iris recognition systems obtain a unique mapping for each person.  ...  The Gradient-based operator include Roberts[8], Sobel[9] and Prewitt[9] edge detection operators while the Laplacian-based include LOG[9] and Zero Cross edge[9] detection operator and the Canny edge detector  ... 
doi:10.5121/ijnsa.2013.5506 fatcat:qx4tq6w3qfcpzl42idubxeafpy

HDMapNet: An Online HD Map Construction and Evaluation Framework [article]

Qi Li, Yue Wang, Yilun Wang, Hang Zhao
2022 arXiv   pre-print
HDMapNet encodes image features from surrounding cameras and/or point clouds from LiDAR, and predicts vectorized map elements in the bird's-eye view.  ...  In this paper, we introduce the problem of HD semantic map learning, which dynamically constructs the local semantics based on onboard sensor observations.  ...  An overview is shown in Figure 2 , four neural networks parameterize our model: a perspective view image encoder φ I and a neural view transformer φ V in the image branch, a pillar-based point cloud encoder  ... 
arXiv:2107.06307v4 fatcat:dyzicwdkxjfjjlm3uavfg37i6i

A closure looks to Iris Recognition system

Sukhwinder Singh
2013 IOSR Journal of Engineering  
His work is based on zero crossing of wavelet transform.  ...  From the grey levels of the sample images one-dimentional signals are obtained and referred to as the iris signature. Then a zero-crossing representation is calculated based on the wavelet transform.  ... 
doi:10.9790/3021-03314349 fatcat:bucwhqywfvbotc4qmsxu5kdfjm

Techniques for disparity measurement

Michael R.M. Jenkin, Allen D. Jepson, John K. Tsotsos
1991 CVGIP: Image Understanding  
Finally, we present a new technique for measuring disparity as the local phase difference between bandpass versions of the two images, and we show how this technique surmounts some of the difficulties  ...  Many different approaches have been suggested for the measurement of structure in space from spatially separated cameras. In this report we critically examine some of these techniques.  ...  Tsotsos were supported by the Canadian Institute for Advanced Research.  ... 
doi:10.1016/1049-9660(91)90002-7 fatcat:jay6jpsiffg4rmmextiq3ijlby

Attribute Prototype Network for Zero-Shot Learning [article]

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2021 arXiv   pre-print
In order to better transfer attribute-based knowledge from known to unknown classes, we argue that an image representation with integrated attribute localization ability would be beneficial for zero-shot  ...  As an additional benefit, our model points to the visual evidence of the attributes in an image, e.g. for the CUB dataset, confirming the improved attribute localization ability of our image representation  ...  Acknowledgments and Disclosure of Funding This work has been partially funded by the ERC under Horizon 2020 program 853489 -DEXIM (Z.A.) and by the DFG under Germany's Excellence Strategy -EXC number 2064/1 -Project  ... 
arXiv:2008.08290v4 fatcat:wegnue3l45hw5n4job6l2txb44

Iris Recognition Methods - Survey

S V Sheela, P A Vijaya
2010 International Journal of Computer Applications  
Iris based security applications thrive on infrared cameras and video cameras for logins and transaction authentications.  ...  In this paper, different iris recognition methods which aid an appropriate outlook for future work to build integrated classifier on latest input devices for excellent business transactions are discussed  ...  The input images are processed to obtain a set of 1D signals and its zero crossing representation based on its dyadic wavelet transform.  ... 
doi:10.5120/729-1022 fatcat:7mpacraherh3rbox46tpxptpzu

Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds [article]

Yara Ali Alnaggar, Mohamed Afifi, Karim Amer, Mohamed Elhelw
2020 arXiv   pre-print
Our Multi-Projection Fusion (MPF) framework analyzes spherical and bird's-eye view projections using two separate highly-efficient 2D fully convolutional models then combines the segmentation results of  ...  The proposed framework is validated on the SemanticKITTI dataset where it achieved a mIoU of 55.5 which is higher than state-of-the-art projection-based methods RangeNet++ and PolarNet while being 1.6x  ...  images for the bird's-eye view.  ... 
arXiv:2011.01974v2 fatcat:6dl2gcbninfypgfw2vxt736noy

Deep Ego-Motion Classifiers for Compound Eye Cameras

Hwiyeon Yoo, Geonho Cha, Songhwai Oh
2019 Sensors  
The proposed method classifies a number of local motions by CNN, and these local classifications which represent the motions of each single eye image, are aggregated to the final classification by a voting  ...  To achieve this, we introduce a voting-based approach that fully utilizes one of the unique features of compound images, specifically, the compound images consist of a lot of single eye images.  ...  On the 2D projected compound image, each single eye image role as a small block of the block-based algorithm.  ... 
doi:10.3390/s19235275 pmid:31795509 pmcid:PMC6928859 fatcat:4dhprvte3fawdfuqprax3rieb4

Automated Iris Recognition System: An Overview

Bhagyashri S.Satpute, B. D. Jadhav
2015 International Journal of Computer Applications  
To improve the overall recognition rate and performance of iris recognition system, the researchers have to work in different aspects like unconstrained environment, noisy images as well as blurred images  ...  Iris texture pattern can be used for biometric verification and identification of a person from a large dataset.  ...  Better accommodating for the imaging variations is strength of localized iris encoding and the global iris encoding strategy has its strength in effective encoding of less noisy iris region pixels.  ... 
doi:10.5120/20247-2612 fatcat:ficblryh45eo5jhs7jbfeb6z6i

Iris boundaries segmentation using the generalized structure tensor. A study on the effects of image degradation

Fernando Alonso-Fernandez, Josef Bigun
2012 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)  
Segmentation performance under different degrees of image defocus and motion blur is also evaluated.  ...  Reported results shows the effectiveness of the proposed algorithm, with similar performance than the others in pupil detection, and clearly better performance for sclera detection for all levels of degradation  ...  Authors also acknowledge the CAISR research program of the Swedish Knowledge Foundation, the EU BBfor2 project (FP7-ITN-238803) and the EU COST Action IC1106 for its support.  ... 
doi:10.1109/btas.2012.6374610 dblp:conf/btas/Alonso-FernandezB12 fatcat:4lvfd252trdb3i7pw24iogugzi

Weighted parallel contributions of binocular correlation and match signals to conscious perception of depth

Ichiro Fujita, Takahiro Doi
2016 Philosophical Transactions of the Royal Society of London. Biological Sciences  
Binocular disparity is detected in the primary visual cortex by a process similar to calculation of local cross-correlation between left and right retinal images.  ...  The false responses in the initial disparity detectors are eliminated at later stages in order to encode only disparities of the features correctly matched between the two eyes.  ...  Shiozaki and Mikio Inagaki for comments on an earlier version of the manuscript.  ... 
doi:10.1098/rstb.2015.0257 pmid:27269600 pmcid:PMC4901451 fatcat:as4thtyxkjgglhflwxxczvedba

Local Population Synchrony and the Encoding of Eye Position in the Primate Neural Integrator

A. Dale, K. E. Cullen
2015 Journal of Neuroscience  
Together, our results support a role for shared inputs to ipsilateral pairs of burst-tonic neurons in the encoding of eye position in the primate nucleus prepositus.  ...  Encoding horizontal eye position in the oculomotor system occurs through temporal integration of eye velocity inputs to produce tonic outputs.  ...  On average, correlations on a 1 ms timescale were significant with zero lag and greater than predicted by the fact that neurons similarly encode eye position.  ... 
doi:10.1523/jneurosci.4253-14.2015 pmid:25762675 fatcat:u4rk44pw5vdsvntwvoacl7dryi


Priyanka Mukherjee .
2013 International Journal of Research in Engineering and Technology  
The main emphasis is laid on the techniques or methods for segmentation, feature extraction and matching. Various methods for all this issues have been discussed in order to examine the state of art.  ...  The iris based biometric system has therefore gained huge attention in this field. This strong interest is driven by its high level of accuracy and highly promising applications.  ...  Some of the contributions made towards feature encoding are: Zero Crossing of the 1D Wavelet Boles and Boashash [9] uses a set of one dimensional (1-D) signals and then obtain the zero-crossing representation  ... 
doi:10.15623/ijret.2013.0211040 fatcat:rweelfhcrnepjjq4togkfyg5zi
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