Semi-synthetic Document Image Generation Using Texture Mapping on Scanned 3D Document Shapes

Kieu, van Cuong; Journet, Nicholas; Visani, Muriel; Mullot, Rémy; Domenger, Jean‐Philippe

doi:10.1109/icdar.2013.104

Cited by 18 publications

(17 citation statements)

References 9 publications

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“…Detection of curvy staff-lines in musical documents is evaluated in this section to understand the effectiveness of our line detection approach. We have applied synthetic curvature generation approach used in Fornes et al (Kieu, Journet, Visani, Mullot & Domenger, 2013) for evaluation. Sinusoidal curves are generated with musical-symbols for this purpose.…”

Section: Experiments Of Curvy Imagementioning

confidence: 99%

HMM-based writer identification in music score documents without staff-line removal

Roy

Bhunia

Pal

2017

Expert Systems with Applications

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Writer identification from musical score documents is a challenging task due to its inherent problem of overlapping of musical symbols with staff-lines. Most of the existing works in the literature of writer identification in musical score documents were performed after a pre-processing stage of staff-lines removal. In this paper we propose a novel writer identification framework in musical score documents without removing staff-lines from the documents. In our approach, Hidden Markov Model (HMM) has been used to model the writing style of the writers without removing staff-lines. The sliding window features are extracted from musical score-lines and they are used to build writer specific HMM models.Given a query musical sheet, writer specific confidence for each musical line is returned by each writer specific model using a log-likelihood score. Next, a log-likelihood score in page level is computed by weighted combination of these scores from the corresponding line images of the page. A novel Factor Analysis-based feature selection technique is applied in sliding window features to reduce the noise appearing from staff-lines which proves efficiency in writer identification performance. In our framework we have also proposed a novel score-line detection approach in musical sheet using HMM.The experiment has been performed in CVC-MUSCIMA data set and the results obtained show that the proposed approach is efficient for score-line detection and writer identification without removing stafflines. To get the idea of computation time of our method, detail analysis of execution time is also provided.

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Section: Experiments Of Curvy Imagementioning

confidence: 99%

HMM-based writer identification in music score documents without staff-line removal

Roy

Bhunia

Pal

2017

Expert Systems with Applications

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“…In document processing once the mesh has been unfolded, any 2D document image can be overlapped on the mesh with the texture mapping technique which is already supported in the library Open GL [4]. As a result of the previous step, the triangles in the mesh have one by one correspondences in the texture vertices.…”

Section: A For Document Processingmentioning

confidence: 99%

Depth Estimation From Stereo Image Based on Texture and Sparsity

2015

IJAERD

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Abstract-This paper presents a stereo image processing techniques for the detection of a depth information from images. Inspite of a remarkable growth in the last few years, the availability of 3D content is still diminutive by that of its 2D portion. To solve this problem, many 2D-to-3D image methods have been proposed. Here a stereo image processing technique is actually a 3D modeling technique. We analyze two types of methods. The first is a texture mapping. For a detail like surface texture and a color to extract from computer generated graphic model or 3D model, is a technique called as texture mapping . The second method is based on sparsity to obtain depth information of stereo image. Finally comparison of both methods are elaborated with parameters like PS NR and MS E. Hence at the end it shows a better algorithm for stereo image.

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“…Some techniques are already proposed to generate distortion in document images. Such methods can roughly be classified into three types [12]. They are (i) adding noise, [10] (ii) degrading characters, [13] and (iii) distorting the shape of document images [12].…”

Section: Introductionmentioning

confidence: 99%

“…al. [12] proposed a mesh-based semi-synthetic method to generate geometric distortion in the image. The mesh is generated using 'the Kron Aquilon laser 3D scanner'.…”

Section: Introductionmentioning

confidence: 99%

A Method to Generate Synthetically Warped Document Image

Garai

Biswas

Mandal

et al. 2020

Communications in Computer and Information Science

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The digital camera captured document images may often be warped and distorted due to different camera angles or document surfaces. A robust technique is needed to solve this kind of distortion. The research on dewarping of the document suffers due to the limited availability of benchmark public dataset. In recent times, deep learning based approaches are used to solve the problems accurately. To train most of the deep neural networks a large number of document images is required and generating such a large volume of document images manually is difficult. In this paper, we propose a technique to generate a synthetic warped image from a flat-bedded scanned document image. It is done by calculating warping factors for each pixel position using two warping position parameters (WPP) and eight warping control parameters (WCP). These parameters can be specified as needed depending upon the desired warping. The results are compared with similar real captured images both qualitative and quantitative way.

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Semi-synthetic Document Image Generation Using Texture Mapping on Scanned 3D Document Shapes

Cited by 18 publications

References 9 publications

HMM-based writer identification in music score documents without staff-line removal

HMM-based writer identification in music score documents without staff-line removal

Depth Estimation From Stereo Image Based on Texture and Sparsity

A Method to Generate Synthetically Warped Document Image

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