Pattern Tracking and 3-D Motion Reconstruction of a Rigid Body From a 2-D Image Sequence

Dasgupta, Sumantra; Banerjee, Amarnath

doi:10.1109/tsmcc.2004.840035

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…In [28], synthetic images generated by an OpenGLbased renderer were used to compare with input image for pose results. But in [29], the shape library was created by visual environment.…”

Section: B Application Of Optical Flow Field For 3d Motion Estimationmentioning

confidence: 99%

A Review of 3D Pose Estimation from a Monocular Image Sequence

Shan¹,

Ji²,

Zhou³

2009

2009 2nd International Congress on Image and Signal Processing

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3D pose estimation is an important part of 3D motion estimation, which is useful for visualized operation and control. The paper classified approaches of 3D pose estimation from a monocular image sequence into three types: feature-based approach, optical-flow-based approach and model-based approach. In feature-based approaches, 3D motion are estimated by observing a set of 2D features, such as points, lines, junctions and corners, over two or more images. On the contrary, opticalflow-based approaches estimate instantaneous 3D motion from image plane velocity. Both of them can complete the estimation without any a priori knowledge of the object, but the computation is complex and time-consuming. Mode-based approach avoids the burden of computation, but relies on the a priori knowledge of the object. Current research status of each approach is reviewed. Comparison of these three approaches and developing trends of 3D pose estimation are discussed in the conclusion.

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“…In [28], synthetic images generated by an OpenGLbased renderer were used to compare with input image for pose results. But in [29], the shape library was created by visual environment.…”

Section: B Application Of Optical Flow Field For 3d Motion Estimationmentioning

confidence: 99%

A Review of 3D Pose Estimation from a Monocular Image Sequence

Shan¹,

Ji²,

Zhou³

2009

2009 2nd International Congress on Image and Signal Processing

View full text Add to dashboard Cite

show abstract

“…These problems arise from rather different domains (Dasgupta and Banerjee 2005;Kim et al 2001;Wang 2005). For example, in remote sensing, it is important to establish correspondence between the images acquired from different viewpoints in order to achieve a global cartography from partial views.…”

Section: Introductionmentioning

confidence: 99%

GRASP and path relinking hybridizations for the point matching-based image registration problem

et al. 2011

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In the last decade, image registration has proven to be a very active research area when tackling computer vision problems, especially in medical applications. In general, image registration methods aim to find a transformation between two images taken under different conditions. Point matching is an image registration approach based on searching for the right pairing of points between the two images, which involves a combinatorial optimization problem. From this matching, the registration transformation can be inferred by means of numerical methods.In this paper, we tackle the medical image registration problem by means of a recent hybrid metaheuristic composed of two well-known optimization methods: GRASP and path relinking. Several designs based on this new hybrid approach have been tested. Our experimentation with real-world problems shows the combination of J. Santamaría ( ) J. Santamaría et al.GRASP and evolutionary path relinking performs well when compared to previous state-of-the-art image registration approaches adopting both the point matching and transformation parameter approaches.

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“…For example, JPEG2000 is standardized to have a feature on allocating more bit rate for ROIs [1]. ROI which contains foreground video object are used to achieve automatically track [2]. ROI which contains irregular region can also be applied to aid medical image analysis [3].…”

Section: Introductionmentioning

confidence: 99%

System Level Design and Implementation for Region-of-Interest Segmentation

Tsai

Lin

2009

J Sign Process Syst

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Region-of-interested (ROI) segmentation is one of the important applications in content-based processing. Although much work has been done in this area, relatively little work has been reported to the ROI segmentation with an implementation consideration. This paper presents a system level design with edge-based ROI segmentation. In order to improve the overall system performance, we propose a computationally efficient algorithm to reduce the complexity in segmentation. Based on the algorithm level development, we put more efforts on the realization with a single board platform system. The system is based on the hybrid architecture, including the associating synchronous modules and asynchronous modules. Detailed task partitions are well scheduled. The system integrates the acquisition and visualization modules for video stream input and output, the transition module for video format transformation, and the DSP processing module for ROI segmentation. We also present a number of optimization techniques in fixed-point arithmetic, memory usage, data transfer and parallel processing. Experiments are performed in the dynamic natural environment. The proposed system can segment ROI well. The run-time results achieve 66 images per second on QCIF format and validate the perspective of using ROI segmentation in content-based applications.

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Pattern Tracking and 3-D Motion Reconstruction of a Rigid Body From a 2-D Image Sequence

Cited by 5 publications

References 23 publications

A Review of 3D Pose Estimation from a Monocular Image Sequence

A Review of 3D Pose Estimation from a Monocular Image Sequence

GRASP and path relinking hybridizations for the point matching-based image registration problem

System Level Design and Implementation for Region-of-Interest Segmentation

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