Improvements in Shape-From-Focus for Holographic Reconstructions With Regard to Focus Operators, Neighborhood-Size, and Height Value Interpolation

Thelen, Andrea; Frey, Susanne; Hirsch, Sven; Hering, P.

doi:10.1109/tip.2008.2007049

Cited by 120 publications

(72 citation statements)

References 22 publications

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“…In order to compute modified Laplacian of image, Thelen et al [32] proposed vertical variations of the image. …”

Section: Diagonal Laplacianmentioning

confidence: 99%

Feature Descriptor Based Identity Retention and Tracking of Players Under Intense Occlusion in Soccer Videos

Israni¹,

Mewada²

2018

IJIES

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Abstract:Tracking plays an important role to analyze the action of players, i.e movement of players and path corresponding to this movement. In recent years, the number of approaches to detecting players throughout the monocular image sequences has grown steadily. Severe occlusion makes this tracking challenging and standard algorithm fails to retain the identity of players. In soccer sequences, it is even more challenging due to erratic movement of players as well as players having clothes of the same color. Feature Descriptors do not require prior training to hold player's size, shape or color. Thus, this paper proposes feature descriptor based object tracking algorithm to tackle severe spatially extended and temporally short and long-term occlusions. The objective is to detect players and maintain their identities over the time even under the situation of intense occlusion. Gaussian Mixture Model (GMM) and Hungarian Assignment (HA) are used for player detection and association respectively. In the proposed approach, the feature descriptors are pre-calculated for the players having a reliable blob. In the case of demerge, these reliable feature descriptors are used to retain player identities. The proposed approach is evaluated on ISSIA Soccer dataset having six sequences having 25 frames per second (fps) for the image size of 1080 x 1920. The proposed method outperforms state of the art trackers by achieving 80% accuracy and 64% precision on ISSIA dataset.

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“…In order to compute modified Laplacian of image, Thelen et al [32] proposed vertical variations of the image. …”

Section: Diagonal Laplacianmentioning

confidence: 99%

Feature Descriptor Based Identity Retention and Tracking of Players Under Intense Occlusion in Soccer Videos

Israni¹,

Mewada²

2018

IJIES

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“…This problem was solved by several ways: varying size of computational pixel windows [33,36], averaging multiple snapshots taken at each vertical position [26], or input data averaging [37]. However, these methods are able to decrease a noise but the noise cannot be zeroed.…”

Section: The Thirdmentioning

confidence: 99%

3D Reconstruction of the Surface Using a Standard Camera

Martišek

2017

Mathematical Problems in Engineering

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This paper deals with 3D reconstructions of series of partially focussed images. Some of these methods are known in case of images which were acquired in small field of view (by confocal microscope or CCD camera, e.g.). In this case, recorded images do not differ in any geometrical transformation from each other. In case of larger samples (oversized for microscope or CCD camera), it is necessary to use wider viewing field (standard cameras, e.g.), and taken images primarily differ in scaling but may also differ in shifting and rotation too. These images cannot be used for reconstruction directly; they must be registered; that is, we must determine all transformations which the images differ and eliminate their effects. There are several ways to do this. This paper deals with the registration based on phase correlation. After this registration, it is necessary to identify the sharp parts and to compose a 2D and 3D model. Present methods are very sensitive to noise and their results are not satisfactory in many cases. We introduce a new method for 3D reconstruction which is significantly better.

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“…Thelen et al improved this feature by taking into account the intensity information from diagonal pixels [10]. It is defined by …”

Section: Laplacian Based Featuresmentioning

confidence: 99%

“…Pech et al [9] suggested to use variance of the Laplacian operator convoluted with an input image. Thelen et al [10] created a modification of Nayar's SML feature, additionally taking into account the intensity information from diagonal pixels. Due to the increased amount of points used for calculation, this improved feature showed more reliable results on noisy images.…”

Section: Introductionmentioning

confidence: 99%

The application of texture features to quality control of metal surfaces

Trambitckii¹,

Anding²,

Polte³

et al. 2016

ACTA IMEKO

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Quality assessment is an important step in production processes of metal parts. This step is required in order to check whether surface quality meets the requirements. Progress in the field of computing technologies and computer vision gives the possibility of visual surface quality control with industrial cameras and image processing methods. Authors of different papers proposed various texture feature algorithms which are suitable for different fields of images processing. In this research 27 texture features were calculated for surface images taken in different lighting conditions. Correlation coefficients between these 2D texture features and 11 roughness 3D parameters were calculated. A strong correlation between 2D features and 3D parameters occurred for images captured under ring light conditions.

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Improvements in Shape-From-Focus for Holographic Reconstructions With Regard to Focus Operators, Neighborhood-Size, and Height Value Interpolation

Cited by 120 publications

References 22 publications

Feature Descriptor Based Identity Retention and Tracking of Players Under Intense Occlusion in Soccer Videos

Feature Descriptor Based Identity Retention and Tracking of Players Under Intense Occlusion in Soccer Videos

3D Reconstruction of the Surface Using a Standard Camera

The application of texture features to quality control of metal surfaces

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