Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography

Fischler, Martin A.; Bolles, Robert C.

doi:10.1016/b978-0-08-051581-6.50070-2

Cited by 7,974 publications

(10,585 citation statements)

References 1 publication

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“…A likely edge point is where the derivative of the smoothed signal first exceeds some threshold. The edge could then be found by applying the RANSAC line detection algorithm to these likely edge points [6]. For a linear probe, the correction is a translation of each likely edge point toward the probe face; the axial coordinates v of the points are multiplied by the temperature correction factor t = In the scenario of a curvilinear probe, the plane appears as a curve rather than a line.…”

Section: Speed Of Soundmentioning

confidence: 99%

Rapid, easy and reliable calibration for freehand 3D ultrasound

Hsu

Prager

Gee

et al. 2006

Ultrasound in Medicine & Biology

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This paper presents improvements to the plane-based technique for calibrating freehand 3D ultrasound systems. The improvements are designed to make it easier for inexperienced users to perform plane-based calibration and to know that they have got a reliable result. In particular, we enable the calibration to be performed using water at room temperature while producing a result that is valid for average soft tissue, and we show how it is possible to provide feedback on the reliability of the calibration using a metric based on the curvature of the calibration criterion function. We present comprehensive results showing that these innovations improve the precision of the calibration and offer useful feedback to the user.

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Section: Speed Of Soundmentioning

confidence: 99%

Rapid, easy and reliable calibration for freehand 3D ultrasound

Hsu

Prager

Gee

et al. 2006

Ultrasound in Medicine & Biology

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show abstract

“…Displacement continuity is enforced within the frame by using a quality guided matching process [5]. The window location estimates are then processed by a Random Sample Consensus (RANSAC) algorithm [9] to exclude outliers, further enforcing continuity. The robustness provided by the RANSAC algorithm is particularly important to maintain accuracy in the elevational direction, where the 2D matching windows cannot easily distinguish the best matching reference frame from adjacent frames.…”

Section: Methodsmentioning

confidence: 99%

A New Method for the Acquisition of Ultrasonic Strain Image Volumes

Housden¹,

Chen²,

Gee³

et al. 2011

Ultrasound in Medicine & Biology

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This paper presents a new method for acquiring 3D volumes of ultrasonic axial strain data. The method uses a mechanically-swept probe to sweep out a single volume while applying a continuously varying axial compression. We examine the image quality and ease of use of the new method with in vitro and in vivo experiments. The new method is easier to use than the current best alternative and so more reliably produces images of superior quality.

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“…If a checkerboard or similar is used instead of the custom registration target, the detected features (e.g., checkerboard corners) are located at positions neighboring both white and black regions. As this can introduce incorrect distance readings by PMD cameras, the plane of the checkerboard is determined from the averaged depth image using a constrained RANSAC [9]. At each 2D position indicated by feature detection above, the corresponding depth value is retrieved and projected onto the plane.…”

Section: Registration Of Depth Cameras With Respect To An Optical Tramentioning

confidence: 99%

Time-of-flight-assisted Kinect camera-based people detection for intuitive human robot cooperation in the surgical operating room

et al. 2015

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Background Scene supervision is a major tool to make medical robots safer and more intuitive. The paper shows an approach to efficiently use 3D cameras within the surgical operating room to enable for safe human robot interaction and action perception. Additionally the presented approach aims to make 3D camera-based scene supervision more reliable and accurate. Methods A camera system composed of multiple Kinect and time-of-flight cameras has been designed, implemented and calibrated. Calibration and object detection as well as people tracking methods have been designed and evaluated. Results The camera system shows a good registration accuracy of 0.05 m. The tracking of humans is reliable and accurate and has been evaluated in an experimental setup using operating clothing. The robot detection shows an error of around 0.04 m. Conclusions The robustness and accuracy of the approach allow for an integration into modern operating room. The data output can be used directly for situation and workflow detection as well as collision avoidance.

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Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography

Abstract: Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information.

Cited by 7,974 publications

References 1 publication

Rapid, easy and reliable calibration for freehand 3D ultrasound

Rapid, easy and reliable calibration for freehand 3D ultrasound

A New Method for the Acquisition of Ultrasonic Strain Image Volumes

Time-of-flight-assisted Kinect camera-based people detection for intuitive human robot cooperation in the surgical operating room

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