Anisotropic motion estimation on edge preserving Riesz wavelets for robust video mosaicing

Ali, Sharib; Daul, Christian; Galbrun, Ernest; Guillemin, François; Blondel, Walter

doi:10.1016/j.patcog.2015.09.021

Cited by 17 publications

(8 citation statements)

References 50 publications

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“…2) It was shown in recent studies [3,4] that optical flow can provide an accurate dense correspondence between homologous points of bladder images with strong illuminations variations, large displacements or perspective changes, blur or weak textures. Thus, a perspective of this work is to elaborate an optical flow method with energies allowing for simultaneous optimization of the vector field and the parameters of the transformation T k−1,k…”

Section: Resultsmentioning

confidence: 99%

“…Based on these working assumptions, the homography is well-suited to model the dependence between I k and I k−1 . This choice was practically validated for numerous algorithms for 2D/2D registration of bladder images: feature-based methods in [7] (fluorescence modality) and [12,28] (white-light modality), the graph-cut method in [30] and two optical flow methods in [3,4]. The homography matrix is defined by:…”

Section: Axis Superscripts and Respectively Refer To The New Locatiomentioning

confidence: 99%

“…The variation of this angle combined with changes of phantomto-camera distances (seeFig. 6) impact the perspective (a k−1,k scale (α k−1,k ) parameters, see(4).…”

mentioning

confidence: 99%

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Construction of Extended 3D Field of Views of the Internal Bladder Wall Surface: A Proof of Concept

Ben-Hamadou

Daul

Soussen

2016

3D Res

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3D extended field of views (FOVs) of the internal bladder wall facilitate lesion diagnosis, patient follow-up and treatment traceability. In this paper, we propose a 3D image mosaicing algorithm guided by 2D cystoscopic video-image registration for obtaining textured FOV mosaics. In this feasibility study, the registration makes use of data from a 3D cystoscope prototype providing, in addition to each small FOV image, some 3D points located on the surface. This proof of concept shows that textured surfaces can be constructed with minimally modified cystoscopes. The potential of the method is demonstrated on numerical and real phantoms reproducing various surface shapes. Pig and human bladder textures are superimposed on phantoms with known shape and dimensions. These data allow for quantitative assessment of the 3D mosaicing algorithm based on the registration of images simulating bladder textures.

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Section: Resultsmentioning

confidence: 99%

Section: Axis Superscripts and Respectively Refer To The New Locatiomentioning

confidence: 99%

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Construction of Extended 3D Field of Views of the Internal Bladder Wall Surface: A Proof of Concept

Ben-Hamadou

Daul

Soussen

2016

3D Res

Self Cite

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“…The critical goal for video synchronization is to establish temporal correspondences among frames of two input videos, i.e., a reference video and a video to be synchronized. The applications of video synchronization cover a wide range of video anal-ysis tasks [2][3][4][5][6][7][8], such as video surveillance, target identification, human action recognition, saliency detection and fusion.…”

Section: Introductionmentioning

confidence: 99%

Video Synchronization Based on Projective-Invariant Descriptor

Zhang

Yang

et al. 2018

Neural Process Lett

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In this paper, we present a novel trajectory-based method to synchronize two videos shooting the same dynamic scene, which are recorded by stationary un-calibrated cameras from different viewpoints. The core algorithm is carried out in two steps: projective-invariant descriptor construction and trajectory points matching. In the first step, a new five-coplanar-points structure is proposed to compute the cross ratio during the construction of the projective-invariant descriptor. The five points include one trajectory point and four fixed points induced from the background scene, which are co-planar in the 3D coordinate. In the second step, the matched trajectory points are initially estimated by the primitive nearest neighbor method, and are further refined by using epipolar geometric constraints and post processing. Experimental results demonstrate that the proposed method significantly outperforms the existing state-of-the-arts. More importantly, the proposed method is more generic in the sense that it works well for those videos captured under different conditions, including different frame rates, wide baseline, multiple moving objects, planar or non-planar motion trajectories.

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“…They have been used to model problems as widely disconnected as resampling time series of surrogate data derived from random cascades on dyadic trees [24], to establish a connection between discrete wavelet transforms, and in entanglement renormalization for quantum systems on the lattice [25]. Important applications of wavelets are also found in preserving motion discontinuities along the edges of weak textures and for dealing with rotations that exist in image sequences [26], the combined analysis of thermal and visible light images of plants to detect early disease with high accuracy [27], and early detection of melanomas from images of boundary irregularities of skin lesions [28]. Wavelets are also useful for high-speed detection of transient high impedance faults and power-quality disturbances [29], feature extraction, discriminant analysis, and classification rules as crucial issues for face recognition [30], and in the development of a full-fledged theory of multiresolution sig-nal decomposition via wavelet representation [31].…”

Section: Introductionmentioning

confidence: 99%

Modelling Animal Activity as Curves: An Approach Using Wavelet-Based Functional Data Analysis

Henning¹,

Kist²,

Pinheiro³

et al. 2017

OJS

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Temporal activity patterns in animals emerge from complex interactions between choices made by organisms as responses to biotic interactions and challenges posed by external factors. Temporal activity pattern is an inherently continuous process, even being recorded as a time series. The discreteness of the data set is clearly due to data-acquisition limitations rather than a true underlying discrete nature of the phenomenon itself. Therefore, curves are a natural representation for high-frequency data. Here, we fully model temporal activity data as curves integrating wavelets and functional data analysis, allowing for testing hypotheses based on curves rather than on scalar and vector-valued data. Temporal activity data were obtained experimentally for males and females of a small-bodied marsupial and modelled as wavelets with independent and identically distributed errors and dependent errors. The null hypothesis of no difference in temporal activity pattern between male and female curves was tested with functional analysis of variance (FANOVA). The null hypothesis was rejected by FANOVA and we discussed the differences in temporal activity pattern curves between males and females in terms of ecological and life-history attributes of the reference species. We also performed numerical analysis that shed light on the regularity properties of the wavelet bases used and the thresholding parameters.

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Anisotropic motion estimation on edge preserving Riesz wavelets for robust video mosaicing

Cited by 17 publications

References 50 publications

Construction of Extended 3D Field of Views of the Internal Bladder Wall Surface: A Proof of Concept

Construction of Extended 3D Field of Views of the Internal Bladder Wall Surface: A Proof of Concept

Video Synchronization Based on Projective-Invariant Descriptor

Modelling Animal Activity as Curves: An Approach Using Wavelet-Based Functional Data Analysis

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