Registration and interactive planar segmentation for stereo images of polyhedral scenes

Vigueras, Javier Flavio; Rivera, Mariano

doi:10.1016/j.patcog.2009.03.012

Cited by 6 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, image segmentation algorithms with multiplanar constraints (c.f. (Vigueras and Rivera, 2010)) can avoid the parameter estimation stage by using our proposed approach. However, multi-planar dense image segmentation with no well-textured regions is still an open problem.…”

Section: Discussionmentioning

confidence: 99%

“…That work presents a set of linear equations that allows to incorporate the geometric and algebraic constraints during the computation of inter-image transfer functions, the first epipole and the projections of the lines representing the intersection of the planar surfaces. In (Vigueras and Rivera, 2010) a user-supervised methodology is proposed in order to obtain a maximum likelihood estimation of the inter-image transfer functions with epipolar geometry consistency without explicit computation of the fundamental matrix. Homography estimation for one planar surface is a well understood task, (Hartley and Zisserman, 2004).…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Patch Rectification Strategy for Multi-Homography Estimation

Santés¹

2012

Proceedings of the International Conference on Computer Vision Theory and Applications

View full text Add to dashboard Cite

In this work, we describe how to recover the perspective functions induced by the dominant faces of a rigid polyhedral scene captured by two cameras at different positions. The faces of any polyhedron can be dealt with as if they were planar surfaces, therefore we analyze this problem in a multi-planar scene context. We assume that the scene is populated with polyhedral objects and that a regular grid is imposed on the reference image. We describe a robust strategy that is able to merge patches that belong to the same planar surface and to impose the epipolar geometry constraints to the recovered perspective functions.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Patch Rectification Strategy for Multi-Homography Estimation

Santés¹

2012

Proceedings of the International Conference on Computer Vision Theory and Applications

View full text Add to dashboard Cite

show abstract

“…Thus, the proposed method aims at developing a view synthesis method that does not require estimation procedures of camera parameters and scene structure. For our goal, the proposed method employs a planar region based processing [18][19][20]. Planar region based processing is based on the assumption that scene structure could be simplified by composition of a number of piecewise planar regions [19,20].…”

Section: Introductionmentioning

confidence: 99%

“…For our goal, the proposed method employs a planar region based processing [18][19][20]. Planar region based processing is based on the assumption that scene structure could be simplified by composition of a number of piecewise planar regions [19,20]. Also, planar region based processing offers an desirable advantage that a planar region is transformed exactly by homography projection from one image to the other without any depth information [15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Uncalibrated View Synthesis Using Planar Segmentation of Images

Yun

Park

2012

IJCGA

View full text Add to dashboard Cite

This paper presents an uncalibrated view synthesis method using piecewise planar regions that are extracted from a given set of image pairs through planar segmentation. Our work concentrates on a view synthesis method that does not need estimation of camera parameters and scene structure. For our goal, we simply assume that images of real world are composed of piecewise planar regions. Then, we perform view synthesis simply with planar regions and homographies between them. Here, for accurate extraction of planar homographies and piecewise planar regions in images, the proposed method employs iterative homography estimation and color segmentation-based planar region extraction. The proposed method synthesizes the virtual view image using a set of planar regions as well as a set of corresponding homographies. Experimental comparisons with the images synthesized using the actual three-dimensional (3-D) scene structure and camera poses show that the proposed method effectively describes scene changes by viewpoint movements without estimation of 3-D and camera information.

show abstract

Automatic Camera Localization, Reconstruction and Segmentation of Multi-planar Scenes Using Two Views

Santés

Vigueras

2009

MICAI 2009: Advances in Artificial Intelligence

View full text Add to dashboard Cite

Registration and interactive planar segmentation for stereo images of polyhedral scenes

Cited by 6 publications

References 19 publications

A Patch Rectification Strategy for Multi-Homography Estimation

A Patch Rectification Strategy for Multi-Homography Estimation

Uncalibrated View Synthesis Using Planar Segmentation of Images

Automatic Camera Localization, Reconstruction and Segmentation of Multi-planar Scenes Using Two Views

Contact Info

Product

Resources

About