HMM-based surface reconstruction from single images

Nagai, Takayuki; Naruse, Tadashi; Ikehara, Masaaki; Kurematsu, Akira

doi:10.1109/icip.2002.1040012

Cited by 35 publications

(19 citation statements)

References 4 publications

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“…In brief, the fourth order moment in (1) is obtained from the kurtosis statistical moment (2) according to the r-th order moment equation (3). 4 (2)…”

Section: Discussionmentioning

confidence: 99%

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Depth estimation from monocular vision using image edge complexity

Haris

Zakaria

Nuawi

2011

2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

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Autonomous robotic arm motion requires the use of a control system in order to prevent collisions with the targeted object. Generally, in translational motion, as the camera approaches an object, the degree of complexity of the edges of the object image will change. This principle can be used to estimate the distance to a targeted object. This work introduces a novel statistical method, named Moment of Zoomed-Algorithm Kurtosis (MoZAK), which is based on the I-kaz method, as an indicator for motion system control. The MoZAK parameter, Z c which represents the degree of complexity of image edges, is used to indicate if further actuation of the motor, or otherwise, is required. The method is compared to conventional statistical methods (standard deviation and kurtosis). Results indicate that the MoZAK method presents a viable distance estimator compared to conventional statistical methods.

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“…In brief, the fourth order moment in (1) is obtained from the kurtosis statistical moment (2) according to the r-th order moment equation (3). 4 (2)…”

Section: Discussionmentioning

confidence: 99%

“…Similarly, in [3], 1-D distances were estimated using supervised learning. In [4], surface reconstruction from single images was performed for known, fixed, objects . In [5], depth estimation requires knowledge on colours and textures, while the method in [6] requires scenes with uniform colours and textures.…”

Section: Introductionmentioning

confidence: 99%

Depth estimation from monocular vision using image edge complexity

Haris

Zakaria

Nuawi

2011

2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

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“…9b. (c) is the specified view when the blur radius is in the range of [0, 10] and depth is in [0,30]. It is observed that when the depth is between the near and far limits of DOF, i.e.…”

Section: Comparison With Respect To Saliency Detection Methodsmentioning

confidence: 95%

“…Other algorithms such as structure from motion [14] and depth from defocus [8] require multi-view images. Several works that perform depth reconstruction from single image are in specific settings, including shape from shading [26], shape from texture [27], or fix known objects such as hand or face [30]. Therefore, in this paper, we apply a supervised learning approach proposed by Saxena et al [34][35][36] to overcome this problem.…”

Section: Depth Estimationmentioning

confidence: 99%

“…Due to the need of creating blurring patch for each pixel, the blur radius should be an odd integer including itself.The result of integer blur radius is shown in (b). c The specified view when the blur radius is in the range of [0, 10] and depth is in[0,30]. d plots the relationship between blurring radius and circle of confusion c, while (e, f) show the relationships between blurring radius and the near ðD N Þ/far(D F ) limits of DOF, respectively…”

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confidence: 98%

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Image aesthetics enhancement using composition-based saliency detection

et al. 2014

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Visual saliency detection and segmentation are widely used in many applications in image processing and computer vision. However, existing saliency detection methods have not fully taken the spatial information of salient regions into account. Inspired by the basic photographic composition rules, we present a novel saliency detection method, which utilizes the knowledge of photographic composition as priors to improve the saliency detection results. Moreover, an online parameter selection method is proposed when utilizing GrabCut to achieve the saliency segmentation result. Besides, to test the applicability of our method, we present a novel post-processing framework for the photographs to be more artistic. The salient region and depth map are firstly computed. The salient region keeps its sharpness, while other parts in the photograph get blurred based on the depth map. To our best knowledge, this is a novel image-based attempt to enhance aesthetics by post-processing a photograph via realistic blurring. We test our method on the 1,000 benchmark test images and dataset MSRA. Extensive experimental results show the applicability and effectiveness of our method.

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Fluid surface reconstruction based on specular reflection model

Quan

2013

Computer Animation & Virtual

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This paper puts forward a hierarchical method of fluid surface modeling in natural landscapes. The proposed method produces a visually plausible surface geometry with the texture from a single video image recorded by a standard video device. In contrast with the conventional physically based fluid simulation, our method computes preliminary results using empirical method and adopts Stokes wave model to obtain the reconstruction result. We illustrate the working of system with a wide range of possible scene, and a qualitative evaluation of our method is provided to verify the quality of the surface geometry. The experiment shows that the method can meet the requirement of real-time performance and the reality of the fluid.

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HMM-based surface reconstruction from single images

Cited by 35 publications

References 4 publications

Depth estimation from monocular vision using image edge complexity

Depth estimation from monocular vision using image edge complexity

Image aesthetics enhancement using composition-based saliency detection

Fluid surface reconstruction based on specular reflection model

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