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NeuralHDHair: Automatic High-fidelity Hair Modeling from a Single Image Using Implicit Neural Representations [article]

Keyu Wu, Yifan Ye, Lingchen Yang, Hongbo Fu, Kun Zhou, Youyi Zheng
2022 arXiv   pre-print
In this paper, we introduce NeuralHDHair, a flexible, fully automatic system for modeling high-fidelity hair from a single image.  ...  To improve the efficiency of a traditional hair growth algorithm, we adopt a local neural implicit function to grow strands based on the estimated 3D hair geometric features.  ...  Conclusion and Future Work In this paper, we introduced an automatic learning-based monocular hair modeling system NeuralHDHair to produce a high-fidelity hair-strand model as shown in Fig. 9 (Please  ... 
arXiv:2205.04175v1 fatcat:ablatayyvngw3igrzushtjyh2i

Visually Salient 3D Model Acquisition from Range Data

Edvaldo M. Bispo, Andrew W. Fitzgibbon, Robert B. Fisher
1993 Procedings of the British Machine Vision Conference 1993  
Automatic model building is a crucial requirement of any model-based vision system which must work in unknown environments.  ...  We present a procedure which merges multiple range images of an unmodelled object to create a 3-D object-centred model of the part.  ...  [6] using an automatic acquired model.  ... 
doi:10.5244/c.7.62 dblp:conf/bmvc/BispoFF93 fatcat:birdxqmlobfc3brujkdh7aojwi

Example-Driven Procedural Urban Roads

G. Nishida, I. Garcia-Dorado, D. G. Aliaga
2015 Computer graphics forum (Print)  
During a growing phase, two types of growth are effectively applied to generate roads in the target area; example-based growth uses patches extracted from the source example to generate roads that preserve  ...  In this paper, we present an interactive tool that allows untrained users to design roads with complex realistic details and styles. Roads are generated by growing a geometric graph.  ...  This research was partially funded by NSF 1250232, NSF 0964302, and NSF 1302172.  ... 
doi:10.1111/cgf.12728 fatcat:mh2xylp3krag5im3plbbseyuea

An Intuitive Interface for Interactive High Quality Image-Based Modeling

Martin Habbecke, Leif Kobbelt
2009 Computer graphics forum (Print)  
We present the design of an interactive image-based modeling tool that enables a user to quickly generate detailed 3D models with texture from a set of calibrated input images.  ...  Our main contribution is an intuitive user interface that is entirely based on simple 2D painting operations and does not require any technical expertise by the user or difficult pre-processing of the  ...  Acknowledgments This project was funded by the DFG Cluster of Excellence on Ultra-high Speed Information and Communication (UMIC), German Research Foundation grant DFG EXC 89,  ... 
doi:10.1111/j.1467-8659.2009.01553.x fatcat:ms6tu7m5kff2vjc4jyzqada5yq

Detecting contextual anomalies of crowd motion in surveillance video

Fan Jiang, Ying Wu, Aggelos K. Katsaggelos
2009 2009 16th IEEE International Conference on Image Processing (ICIP)  
Our system follows an unsupervised approach. It automatically discovers important contextual information from the crowd video and detects the blobs corresponding to contextually anomalous behaviors.  ...  [8] detected irregularities in images and videos based on an ensemble of spatially related patches.  ...  A blob is growing from one patch at a certain position in the image to a connected component of patches.  ... 
doi:10.1109/icip.2009.5414535 dblp:conf/icip/JiangWK09 fatcat:kxippeptz5cq7gp5l4lbpw4hqm

View suggestion for interactive segmentation of indoor scenes

Sheng Yang, Jie Xu, Kang Chen, Hongbo Fu
2017 Computational Visual Media  
Our system automatically suggests a series of camera views, in which users can conveniently specify segmentation guidance.  ...  To achieve this, we introduce a novel view preference model, which is based on a set of dedicated view attributes, with weights learned from a user study.  ...  Our solution is an extension of the region growing approach by Ref. [24] .  ... 
doi:10.1007/s41095-017-0078-4 fatcat:2x4djrxn5ff6tj75mp7ns6lppe

Colour-based object recognition under spectrally non-uniform illumination

J Matas, R Marik, J Kittler
1995 Image and Vision Computing  
Finally, an automatic model acquisition procedure allows rapid creation of the model database.  ...  This paper describes a colour-based recognition system with three novel features.  ...  Automatic model acquisition is generally desirable for any model-based system. Considering the number of objects (~50) patches and canonical illuminants (4-6) it is clearly necessary.  ... 
doi:10.1016/0262-8856(95)98861-m fatcat:onw7dcypnnfydkviiliqnnr6va

Illumination Invariant Colour Recognition

J. Matas, R. Marik, J. Kittler
1994 Procedings of the British Machine Vision Conference 1994  
Finally, an automatic model acquisition procedure allows rapid creation of the model database.  ...  The article describes a colour based recognition system with three novel features.  ...  The automatic model acquisition proceeds as follows. First a background image is taken. Next, an object is presented to the system ( fig. l(a) ).  ... 
doi:10.5244/c.8.46 dblp:conf/bmvc/MatasMK94 fatcat:6oahhsytlngvlomyz5sczkd3e4

Automatic creation of semantically rich 3D building models from laser scanner data

Xuehan Xiong, Antonio Adan, Burcu Akinci, Daniel Huber
2013 Automation in Construction  
We use a conditional random field model to learn contextual relationships between patches and use this knowledge to automatically label patches as walls, ceilings, or floors.  ...  Our method begins by extracting planar patches from a voxelized version of the input point cloud.  ...  We evaluated the context-based modeling algorithm We also evaluated the detailed wall modeling algorithm using the patches produced by the context-based modeling algorithm.  ... 
doi:10.1016/j.autcon.2012.10.006 fatcat:qncjgswbb5d6nggtmgfumo6fpy

Mesh-based global motion compensation for robust mosaicking and detection of moving objects in aerial surveillance

Marco Munderloh, Holger Meuel, Jorn Ostermann
2011 CVPR 2011 WORKSHOPS  
Therefore we propose a more complex model by introducing a 2D mesh-based motion compensation technique, also known as image warping, to compensate the global motion.  ...  Global Motion Compensation is one of the key technologies for aerial image processing e.g. to detect moving objects on the ground or to generate a mosaick image of the observed area.  ...  In our approach we assume a planar surface in each of the small patches which can therefore be modeled by an affine transform.  ... 
doi:10.1109/cvprw.2011.5981678 dblp:conf/cvpr/MunderlohMO11 fatcat:knq6xa2tlzdq7bb6t54xhcjrra

Introducing MRF in Patch-based Image Inpainting

Sonali Zatale, Archana Chaugule
2016 International Journal of Computer Applications  
Image inpainting techniques are also used to edit the image so as to remove the unwanted part of the image. Here, an approach of inpainting is proposed which is the patch based image inpainting.  ...  This approach can be employed to improve the speed and performance of patch-based inpainting method.  ...  This is achieved by the patch based image inpainting with MRF modeling.  ... 
doi:10.5120/ijca2016909276 fatcat:5ugqo65y5baqxdc4xc57ego2n4

Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images

M. P. Pound, A. P. French, E. H. Murchie, T. P. Pridmore
2014 Plant Physiology  
We present a fully automatic approach to image-based 3D plant reconstruction that can be achieved using a single low-cost camera.  ...  The boundary of each leaf patch is refined using the level-set method, optimizing the model based on image information, curvature constraints, and the position of neighboring surfaces.  ...  individually, automatically selecting an image likely to contain the necessary information.  ... 
doi:10.1104/pp.114.248971 pmid:25332504 pmcid:PMC4256878 fatcat:4eczxyi4arepnlx7rjizwn3pzu

Fast Catheter Segmentation From Echocardiographic Sequences Based on Segmentation From Corresponding X-Ray Fluoroscopy for Cardiac Catheterization Interventions

Xianliang Wu, James Housden, YingLiang Ma, Benjamin Razavi, Kawal Rhode, Daniel Rueckert
2015 IEEE Transactions on Medical Imaging  
images; 3) a two layer hierarchical graph model to integrate and smooth catheter fragments into a complete catheter; and 4) the integration of these components into a system for clinical applications.  ...  The main contributions include: 1) a Kalman filter-based growing strategy with more clinical data evalution; 2) a SURF detector applied in a constrained search space for catheter segmentation in ultrasound  ...  An FTP below 40% can only be achieved by combining Fast-PD and the Kalman filter-based growing strategies. B.  ... 
doi:10.1109/tmi.2014.2360988 pmid:25291790 fatcat:plvoybhbnvgohleenqotyy6vsi

Glioblastomas brain tumour segmentation based on convolutional neural networks

Moh'd Rasoul Al-Hadidi, Bayan AlSaaidah, Mohammed Al-Gawagzeh
2020 International Journal of Electrical and Computer Engineering (IJECE)  
This paper presents an integrated framework to segment the gliomas brain tumour automatically using pixel clustering for the MRI images foreground and background and classify its type based on deep learning  ...  Several approaches have been proposed to design automatic detection and classification systems.  ...  In this study, an automatic segmentation, detection, and classification system were proposed to detect the abnormal cells and identify its type.  ... 
doi:10.11591/ijece.v10i5.pp4738-4744 fatcat:taqa3gkcrjdfpklb3ulr5wm7pu

Evaluating Blind Image Quality Using RBF Neural Network

Abi Soliga, Godlin Jasil
2016 APTIKOM Journal on Computer Science and Information Technologies  
By coordinating the components of normal picture measurements got from different signs, we take a multivariate Gaussian model of picture patches from an accumulation of unblemished regular pictures.  ...  The general quality of image and the nature of every image patches are measured by normal pooling.  ...  The growing and pruning radial basis function (GAP-RBF) is sequence learning algorithm and it is based on human score.  ... 
doi:10.11591/aptikom.j.csit.99 fatcat:hy4s46tievfszmjpk7ivg26fdu
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