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Improved orientation estimation for texture planes using multiple vanishing points

Eraldo Ribeiro, Edwin R. Hancock
2000 Pattern Recognition  
In this paper we describe a method for multiple vanishing point and, hence complete perspective pose estimation, which obviates the need to compute the texture gradient.  ...  Vanishing point locations play a critical role in determining the perspective orientation of textured planes. However, if only a single vanishing point is available then the problem is undetermined.  ...  We will exploit this property to develop a geometric algorithm for recovering the image-plane position of the vanishing-point, and hence, for estimating the orientation of the texture-plane.  ... 
doi:10.1016/s0031-3203(99)00148-x fatcat:s6rnmrqfubhxbp7f5tpxritohu

Improved Orientation Estimation for Texture Planes Using Multiple Vanishing Points [chapter]

Eraldo Ribeiro, Edwin Hancock
1999 Lecture Notes in Computer Science  
In this paper we describe a method for multiple vanishing point and, hence complete perspective pose estimation, which obviates the need to compute the texture gradient.  ...  Vanishing point locations play a critical role in determining the perspective orientation of textured planes. However, if only a single vanishing point is available then the problem is undetermined.  ...  We will exploit this property to develop a geometric algorithm for recovering the image-plane position of the vanishing-point, and hence, for estimating the orientation of the texture-plane.  ... 
doi:10.1007/3-540-48375-6_61 fatcat:z2kt26luvncu7huvf3atbrcfxq

Estimating the 3D orientation of texture planes using local spectral analysis

E. Ribeiro, E.R. Hancock
2000 Image and Vision Computing  
The novel contribution of the work is to use the angular distribution of texture moments to locate the vanishing point of textured planes viewed under perspective geometry.  ...  We exploit this property to develop a simple algorithm for estimating the slant and tilt of textured planes. This is a two-step process.  ...  As concrete examples we have recently developed practical methods which recover slant and tilt from multiple vanishing point locations [23] and for estimating the required vanishing point locations using  ... 
doi:10.1016/s0262-8856(99)00064-5 fatcat:wrec5znpmbfc7emooxz7wtatyy

Integrated 3-D analysis and analysis-guided synthesis of flight image sequences

S. Sull, N. Ahuja
1994 IEEE Transactions on Pattern Analysis and Machine Intelligence  
For reliable estimation, a sequential batch method is used to compute motion and structure.  ...  First, it presents an approach to recovering 3-D motion and structure parameters from multiple cues present in a monocular image sequence, such as point features, optical flow, regions, lines, texture  ...  Cho for letting us use their programs for feature detection.  ... 
doi:10.1109/34.277590 fatcat:bbevoz7qordxxnxqa4j7lxfvem

Interactive 3D architectural modeling from unordered photo collections

Sudipta N. Sinha, Drew Steedly, Richard Szeliski, Maneesh Agrawala, Marc Pollefeys
2008 ACM SIGGRAPH Asia 2008 papers on - SIGGRAPH Asia '08  
We utilize vanishing point constraints at multiple stages during the reconstruction, which is particularly useful for architectural scenes where parallel lines are abundant.  ...  Seamless texture maps are automatically generated by combining multiple input photographs using graph cut optimization and Poisson blending.  ...  Figure 5 : 5 Multiple models for oriented planes used in RANSAC based plane-fitting. Solid lines depict vanishing point constraints.  ... 
doi:10.1145/1457515.1409112 fatcat:vrtx4xi3rrgmpljxi4f5e2mp5e

Interactive 3D architectural modeling from unordered photo collections

Sudipta N. Sinha, Drew Steedly, Richard Szeliski, Maneesh Agrawala, Marc Pollefeys
2008 ACM Transactions on Graphics  
We utilize vanishing point constraints at multiple stages during the reconstruction, which is particularly useful for architectural scenes where parallel lines are abundant.  ...  Seamless texture maps are automatically generated by combining multiple input photographs using graph cut optimization and Poisson blending.  ...  Figure 5 : 5 Multiple models for oriented planes used in RANSAC based plane-fitting. Solid lines depict vanishing point constraints.  ... 
doi:10.1145/1409060.1409112 fatcat:dlznvyq7s5dvbkckgokpn5up6m

Estimating the perspective pose of texture planes using spectral analysis on the unit sphere

Eraldo Ribeiro, Edwin R. Hancock
2002 Pattern Recognition  
Multiple vanishing point detection provides the key to recovering the perspective pose of textured planes.  ...  To improve the accuracy of the recovered perspective pose parameters for highly slanted planes, we use an adaptive spectral window.  ...  We use the ground-truth vanishing point location to investigate the systematics of the error in the estimated plane orientation.  ... 
doi:10.1016/s0031-3203(01)00157-1 fatcat:hnuu3yvzhzhzjju54b327sdfw4

Facilitating and Exploring Planar Homogeneous Texture for Indoor Scene Understanding [chapter]

Shahzor Ahmad, Loong-Fah Cheong
2016 Lecture Notes in Computer Science  
In scenes where vanishing points cannot be reliably detected, or the Manhattan assumption is not satisfied, homogeneous texture detected by the proposed approach provides alternative cues to obtain an  ...  Indoor scenes tend to be abundant with planar homogeneous texture, manifesting as regularly repeating scene elements along a plane.  ...  [5] have previously demonstrated the estimation of indoor scene geometric layout by using orthogonal vanishing points [39] to establish room orientation, and then using machine learning with rich  ... 
doi:10.1007/978-3-319-46475-6_3 fatcat:xhyqubezizbmtk3652uv2yrmya

Recognising Planes in a Single Image

Osian Haines, Andrew Calway
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence  
As such, the method does not require specific features or use geometric cues, such as vanishing points.  ...  We first show that using hand-labelled training data, we are able to classify pre-segmented regions as being planar or not, and estimate their 3D orientation.  ...  For example, vanishing points can be used to calculate plane orientation [22] , [27] , estimate distances [7] , measure lengths [12] and construct intricate line models [31] .  ... 
doi:10.1109/tpami.2014.2382097 pmid:26353131 fatcat:krvzmzjixbakvngeoqcphewsau

Detecting Multiple Texture Planes using Local Spectral Distortion

E Ribeiro, E Hancock
2000 Procedings of the British Machine Vision Conference 2000  
This paper presents a spectral method for identifying multiple texture planes. We commence by showing how pairs of spectral peaks can be used to make direct estimates of the slant and tilt angles.  ...  By searching for clusters in the computed slant and tilt angles, we locate multiple texture planes. We apply the method to a variety of real-world and synthetic imagery.  ...  In order to improve the orientation estimates returned by eigenvectors of the a ne distortion matrix, we use the robust vector smoothing method developed by Worthington and Hancock 10 for shape-from-shading  ... 
doi:10.5244/c.14.11 dblp:conf/bmvc/RibeiroH00 fatcat:yved34ni4ncxjcn5x3zxgv5wfq

Functional vanishing point estimation via a filtered-Radon operator

William Mantzel, Justin Romberg
2010 2010 IEEE International Conference on Image Processing  
Then, we use a robust coarse-to-fine method to jointly estimate the three vanishing points.  ...  We present a novel method for estimating vanishing points without explicitly detecting line features.  ...  After at least two vanishing points are estimated, the orientation R can be recovered. lines).  ... 
doi:10.1109/icip.2010.5651773 dblp:conf/icip/MantzelR10 fatcat:2zu5rx6mqzgjnfeipyg3vcr2gi

Recovering Surface Layout from an Image

Derek Hoiem, Alexei A. Efros, Martial Hebert
2007 International Journal of Computer Vision  
Our multiple segmentation framework provides robust spatial support, allowing a wide variety of cues (e.g., color, texture, and perspective) to contribute to the confidence in each geometric label.  ...  Yet it seems very likely that having a grasp of this "surface layout" of a scene should be of great assistance for many tasks, including recognition, navigation, and novel view synthesis.  ...  We thank Jake Sprouse for providing images for the navigation application, Heegun Lee for annotating the indoor images, and our reviewers for helping to improve the clarity of the paper.  ... 
doi:10.1007/s11263-006-0031-y fatcat:25hjwm6werh33jc3fl5ai6og3q

Detecting planes and estimating their orientation from a single image

Osian Haines, Andrew Calway
2012 Procedings of the British Machine Vision Conference 2012  
Plane detection is achieved by classifying multiple overlapping image regions, in order to obtain an initial estimate of planarity for a set of points, which are segmented into planar and non-planar regions  ...  We propose an algorithm to detect planes in a single image of an outdoor urban scene, capable of identifying multiple distinct planes, and estimating their orientation.  ...  Acknowledgements We would like to thank David Hanwell and José Martínez-Carranza for useful discussions and comments. This work was funded by UK EPSRC.  ... 
doi:10.5244/c.26.31 dblp:conf/bmvc/HainesC12 fatcat:dpbuhir5ivavvc7wcsmfufjswu

SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints [article]

Ziwei Liao, Yutong Hu, Jiadong Zhang, Xianyu Qi, Xiaoyu Zhang, Wei Wang
2021 arXiv   pre-print
We explore three representative spatial constraints, including scale proportional constraint, symmetrical texture constraint and plane supporting constraint.  ...  Based on these semantic constraints, we propose two new methods - a more robust object initialization method and an orientation fine optimization method.  ...  Next, we use the Improved-DT descriptor to estimate the orientation of the object as in Figure 8 .  ... 
arXiv:2109.04884v1 fatcat:2xmk2y2mu5fhlko53tjrvrecey

Robust Visual Compass Using Hybrid Features for Indoor Environments

Ruibin Guo, Keju Peng, Dongxiang Zhou, Yunhui Liu
2019 Electronics  
., plane, line, and point) from color and depth images, which provides reliable constraints even in uncharacteristic environments with low texture or no consistent lines.  ...  Experiments on public RGB-D datasets demonstrate the robustness and accuracy of the proposed algorithm for orientation estimation.  ...  [26] proposed a real-time pipeline for estimating camera orientation based on vanishing points for indoor navigation assistance on a smartphone.  ... 
doi:10.3390/electronics8020220 fatcat:cdanmayytrhtpprofhhmwgp35m
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