Predicting and estimating the accuracy of a subpixel registration algorithm

Cox, Ingemar J.; Kruskal, Joseph B.; Wallach, Daphné

doi:10.1109/34.57665

Cited by 36 publications

(14 citation statements)

References 7 publications

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“…A CCURATE estimation of displacement or location of a signal or image is important in many applications of signal and image processing such as time delay estimation [22], target tracking [37], noncontact measurement [2], [41], remote sensing [4], [11], computer vision [1], image registration [8], [39], and so on. In video coding, motion estimation is proven to be very useful for the reduction of temporal redundancy.…”

Section: Introductionmentioning

confidence: 99%

Interpolation-free subpixel motion estimation techniques in DCT domain

Koc¹,

Liu

1998

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-Currently existing subpixel motion estimation algorithms require interpolation of interpixel values which undesirably increases the overall complexity and data flow and deteriorates estimation accuracy. In this paper, we develop discrete cosine transform (DCT)-based techniques to estimate subpel motion at different desired subpel levels of accuracy in the DCT domain without interpolation. We show that subpixel motion information is preserved in the DCT of a shifted signal under some condition in the form of pseudophases, and we establish subpel sinusoidal orthogonal principles to extract this information. The proposed subpixel techniques are flexible and scalable in terms of estimation accuracy with very low computational complexity O(N 2 ) compared to O(N 4 ) for the full-search block-matching approach and its subpixel versions. Above all, motion estimation in the DCT domain instead of the spatial domain simplifies the conventional hybrid DCT-based video coder, especially the heavily loaded feedback loop in the conventional design, resulting in a fully DCT-based high-throughput video codec. In addition, the computation of pseudophases is local, and thus a highly parallel architecture is feasible for the DCT-based algorithms. Finally, simulation on video sequences of different characteristics shows comparable performance of the proposed algorithms to block-matching approaches.

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Section: Introductionmentioning

confidence: 99%

Interpolation-free subpixel motion estimation techniques in DCT domain

Koc¹,

Liu

1998

IEEE Trans. Circuits Syst. Video Technol.

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“…It has applications in such diverse areas as robot vision [1], guidance systems [2], motion detection [3], medical imaging [4], and manufacturing [5], It also has important applications in the analysis of remotely sensed imagery, such as change detection, topographic mapping, and the alignment of images with maps. (See for example [6] or [7].…”

Section: Introductionmentioning

confidence: 99%

Automated subpixel image registration of remotely sensed imagery

Pritt

1994

IBM J. Res. & Dev.

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“…This is performed using an estimation technique presented by Cox et al in [3]. After the more precise estimate has been determined, each feature location is compared to the corresponding location defined by the CAD model.…”

Section: Comparison With Specificationsmentioning

confidence: 99%

“…Precision of the system has been determined with experiments shown in Sec. 3. More details of the study can be found in [6].…”

Section: Introductionmentioning

confidence: 99%

High precision 2-D geometrical inspection

Kyrki

Kalvianen

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000

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Automated visual inspection has become important ,for modern industry mainly because production rates and the level of automation have continually increased. This paper presents a system for automated visual inspection of large two-dimensional parts. The system is capable of inspecting sheet metal parts using CAD data. The inspection is performed based on a CAD model. There are existing systems that perform this function but they are not particularly well suitable for in-place inspection. In the proposed system, the high precision inspection of individual features is performed by firstly estimating the global position of a part. Next, each local feature is measured using subpixel techniques. Finally, the measurements are compared with a CAD model. Experiments are presented to evaluate the precision of system components. According to the results, the calibration procedure seems to be the factor that has the greatest effect on the final precision. Last, a comparison to similar systems is made and some suggestions are given how the precision could be further improved.

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Predicting and estimating the accuracy of a subpixel registration algorithm

Cited by 36 publications

References 7 publications

Interpolation-free subpixel motion estimation techniques in DCT domain

Interpolation-free subpixel motion estimation techniques in DCT domain

Automated subpixel image registration of remotely sensed imagery

High precision 2-D geometrical inspection

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