In this paper we propose a new continuous Shape from Texture (SfT) model for piecewise planar surfaces. It is based on the assumptions of texture homogeneity and perspective camera projection. We show that in this set...
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We consider a task of tracing out target figures hidden in teeming figure pictures come to known as Wimmelbild(er). Wimmelbild is a popular genre of visual puzzles;a timeless classic for children, artists and cognitiv...
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In many practical problems wavelet theory offers methods to handle data in different scales. It is highly adaptable to represent data in a compact and sparse way without loss of information. We present an approach to ...
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We present a theory and a method for simultaneous detection of local spatial and temporal scales in video data. the underlying idea is that if we process video data by spatio-temporal receptive fields at multiple spat...
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ISBN:
(纸本)9783319587714;9783319587707
We present a theory and a method for simultaneous detection of local spatial and temporal scales in video data. the underlying idea is that if we process video data by spatio-temporal receptive fields at multiple spatial and temporal scales, we would like to generate hypotheses about the spatial extent and the temporal duration of the underlying spatio-temporal image structures that gave rise to the feature responses. For two types of spatio-temporal scale-space representations, (i) a non-causal Gaussian spatio-temporal scalespace for offline analysis of pre-recorded video sequences and (ii) a time-causal and time-recursive spatio-temporal scalespace for online analysis of real-time video streams, we express sufficient conditions for spatio-temporal feature detectors in terms of spatio-temporal receptive fields to deliver scale covariant and scale invariant feature responses. A theoretical analysis is given of the scale selection properties of six types of spatio-temporal interest point detectors, showing that five of them allow for provable scale covariance and scale invariance. then, we describe a time-causal and time-recursive algorithm for detecting sparse spatio-temporal interest points from video streams and show that it leads to intuitively reasonable results.
In this paper we propose a new method to solve the problem of uncalibrated photometric stereo, making very weak assumptions on the properties of the scene to be reconstructed. Our goal is to solve the generalized bas-...
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Segmentation is one of the most discussed problems in image processing. Many various methods for image segmentation exist. the mean-shift method is one of them and it was widely developed in recent years and it is sti...
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We consider a differential model describing neuro-physiological contrast perception phenomena induced by surrounding orientations. the mathematical formulation relies on a cortical-inspired modelling [11] largely used...
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ISBN:
(纸本)9783030223687;9783030223670
We consider a differential model describing neuro-physiological contrast perception phenomena induced by surrounding orientations. the mathematical formulation relies on a cortical-inspired modelling [11] largely used over the last years to describe neuron interactions in the primary visual cortex (V1) and applied to several image processing problems [14,15,21]. Our model connects to Wilson-Cowan-type equations [26] and it is analogous to the one used in [3,4,16] to describe assimilation and contrast phenomena, the main novelty being its explicit dependence on local image orientation. To confirm the validity of the model, we report some numerical tests showing its ability to explain orientation-dependent phenomena (such as grating induction) and geometric-optical illusions [18,24] classically explained only by filtering-based techniques [7,20].
the census transform is becoming increasingly popular in the context of optic flow computation in image sequences. Since it is invariant under monotonically increasing grey value transformations, it forms the basis of...
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this book constitutes the refereed proceedings of the 6thinternationalconference on scalespace and variationalmethods in computervision, ssvm 2017, held in Kolding, Denmark, in June 2017. the 55 revised full...
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ISBN:
(数字)9783319587714
ISBN:
(纸本)9783319587707
this book constitutes the refereed proceedings of the 6thinternationalconference on scalespace and variationalmethods in computervision, ssvm 2017, held in Kolding, Denmark, in June 2017. the 55 revised full papers presented were carefully reviewed and selected from 77 submissions. the papers are organized in the following topical sections: scalespace and PDE methods; Restoration and Reconstruction; Tomographic Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D vision.
We propose a novel method to obtain a part of an optimal non-relaxed integral solution for energy minimization problems with Potts interactions, known also as the minimal partition problem. the method empirically outp...
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