2011
DOI: 10.1016/j.cviu.2011.06.009
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Analysis and evaluation of a general camera model

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Cited by 7 publications
(5 citation statements)
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“…2 shows. Pðx c ; y c ; z c Þ in CCS is randomly picked out to camera imaging, it can be converted into ðu; vÞ in ICS with camera model, which is usually written as [24,25] u À u 0…”
Section: Camera Model Set Upmentioning
confidence: 99%
“…2 shows. Pðx c ; y c ; z c Þ in CCS is randomly picked out to camera imaging, it can be converted into ðu; vÞ in ICS with camera model, which is usually written as [24,25] u À u 0…”
Section: Camera Model Set Upmentioning
confidence: 99%
“…The following is an eye-in-hand robot as an example to illustrate the relationship between the coordinate systems of the system. Let {W} represent the base coordinate system of the robot, {E} represent the coordinate system of the robot end-effector, {C} represent the camera coordinate system, {I} represent the image plane coordinate system, and {O} represent the target object coordinate system [11]. The position relationship between the coordinate systems is shown in figure 3.…”
Section: Analysis Of the Relationship Between The Creation And Transfmentioning
confidence: 99%
“…Chen et al [17] calibrated a hybrid camera network consisting of catadioptric and perspective cameras using vanishing points. Compared to the catadioptric camera, a large number of different imaging models for fisheye camera [19][20][21][22][23][24][25][26][27][28][29] are developed because of its non-single view point (SVP). Hughes et al [22] computed the intrinsic and extrinsic parameters of a fisheye camera using the vanishing points of a planar checkerboard.…”
Section: Introductionmentioning
confidence: 99%