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      • Multiview registration-based handheld 3D profiling system using visual navigation and structured light

        Ayaz, Shirazi Muhammad,Kim, Min Young Informa UK (TaylorFrancis) 2017 International journal of optomechatronics Vol.11 No.1

        <P>This article describes the 3D handheld profiling system composed of a stereo camera and an illumination projector to collect high-resolution data for close range of applications. Visual navigation approach is either based on feature matching or on accurate target, and the target-based approach was found to be more accurate if the 3D object has less texture on its surface. Block matching algorithm was used to render the single-view 3D reconstruction. For multiview 3D modeling, coarse registration and final refinement of the point clouds using iterative closest point algorithm were utilized. The proposed approach yields good accuracy for multiview registration as demonstrated in the results of this research.</P>

      • Single shot laser speckle based 3D acquisition system for medical applications

        Khan, Danish,Shirazi, Muhammad Ayaz,Kim, Min Young Elsevier 2018 Optics and lasers in engineering Vol.105 No.-

        <P><B>Abstract</B></P> <P>The state of the art techniques used by medical practitioners to extract the three-dimensional (3D) geometry of different body parts requires a series of images/frames such as laser line profiling or structured light scanning. Movement of the patients during scanning process often leads to inaccurate measurements due to sequential image acquisition. Single shot structured techniques are robust to motion but the prevalent challenges in single shot structured light methods are the low density and algorithm complexity. In this research, a single shot 3D measurement system is presented that extracts the 3D point cloud of human skin by projecting a laser speckle pattern using a single pair of images captured by two synchronized cameras. In contrast to conventional laser speckle 3D measurement systems that realize stereo correspondence by digital correlation of projected speckle patterns, the proposed system employs KLT tracking method to locate the corresponding points. The 3D point cloud contains no outliers and sufficient quality of 3D reconstruction is achieved. The 3D shape acquisition of human body parts validates the potential application of the proposed system in the medical industry.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A single shot 3D acquisition system based on stereophotogrammetry and laser speckle projection is presented for anthropometric measurements. </LI> <LI> The stereo correspondence is established by tracking the feature points using KLT feature tracker instead of laser speckle correlation. </LI> <LI> The acquisition of the 3D point clouds by the proposed system contains no outliers and the number of 3D points is sufficient to create the 3D mesh of the measuring part. </LI> <LI> Experiments are performed to estimate the measurement accuracy of the system. </LI> </UL> </P>

      • 3D Registration Using Inertial Navigation System And Kinect For Image-Guided Surgery

        JoonYoung Bang,Shirazi Muhammad Ayaz,Khan Danish,Soo-in Park,Hyunki Lee,Min Young Kim 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10

        When 3d image registration using 2d image by hand-held scanner, the most important thing is pose estimation and object surface measure. The relationship between images is important to image registration. In this paper suggest 3d registration using Kinect and INS. The Kinect and INS are integrated on rigid body to improve the accuracy of estimate pose. It can complement the disadvantages of each sensor through the sensor fusion of INS and vision sensor position to make more precise estimates. Using purposed system can measure the three-dimensional shape of a variety of objects, and also can obtain an accurate image in a medical imaging applications which require precision application and apply in Image-guided surgery.

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