Accurate and Practical Calibration of a Depth and Color Camera Pair

Herrera, Cardenal; Kannala, Juho; Heikkilä, Janne

doi:10.1007/978-3-642-23678-5_52

Cited by 102 publications

(72 citation statements)

References 5 publications

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“…The Kinect and projector use different coordinate systems, and thus, the calibration between them should be performed when projecting a texture image onto a curved display generated by actuators [21,22]. Let X Y Z 1 T be the homogeneous coordinates of p measured by the Kinect depth (infrared) camera and wx wy w T be the perspective coordinates of the projection point p .…”

Section: Calibration Of the Kinect With The Projectormentioning

confidence: 99%

Tangible Visualization Table for Intuitive Data Display

et al. 2017

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Abstract:We propose a new tangible visualization table for intuitive and effective visualization of terrain data transferred from a remote server in real time. The shape display approximating the height field of remote terrain data is generated by linear actuators, and the corresponding texture image is projected onto the shape display. To minimize projection distortions, we present a sophisticated technique for projection mapping. Gesture-based user interfaces facilitate intuitive manipulations of visualization results. We demonstrate the effectiveness of our system by displaying and manipulating various terrain data using gesture-based interfaces.

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Section: Calibration Of the Kinect With The Projectormentioning

confidence: 99%

Tangible Visualization Table for Intuitive Data Display

et al. 2017

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“…[4][5][6] The calibration of IR and color camera is based on Zhang's method, which is implemented by the Camera Calibration Toolbox in MATLAB. 7 In this method multiple images are taken from different positions from a known sized chessboard pattern.…”

Section: The Calibration Processmentioning

confidence: 99%

Depth sensors in screening of scoliosis

Major¹,

Ayhan²,

Péter³

2013

Biomech Hung

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“…Also, manual correspondences need to be specified to improve calibration accuracy. Second is Herrera's method [20], in which authors claim to achieve features such as accuracy, practicality, and applicability. The method requires planar surface to be imaged from various poses and presents a new depth distortion model for the depth sensor.…”

Section: State Of the Artmentioning

confidence: 99%

Efficient registering of color and range images

2013

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We present a simple yet highly efficient method to register range and color images. This method does not rely upon calibration parameters nor does it use visual features analysis. Our assumption is that if the transformation that registers the images is a mathematical function, we can approximate with little number of samples. To this end, thin-plate spline-based interpolations are used in this paper. Therefore, the registration of one point in our method takes only the solving of a nonlinear function. Drastically enhanced performances in the computational processing are attained under this condition. In fact, we show that ultimately our computational algorithm is independent of the complexity of the mathematical model underlying it. Finally, this paper reports on the results of experiments conducted with various range camera models that endorse the proposed method. Eventually, three key features can be derived from our method: practicality, accuracy, and wide applicability.

show abstract

Accurate and Practical Calibration of a Depth and Color Camera Pair

Cited by 102 publications

References 5 publications

Tangible Visualization Table for Intuitive Data Display

Tangible Visualization Table for Intuitive Data Display

Depth sensors in screening of scoliosis

Efficient registering of color and range images

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