A. M. Waxman, J. Wu, and F. Bergholm. Convected activation profiles and receptive fields for real measurements of short range visual motion. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 717--723, 1988.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....similar mathematical analysis. Correlation techniques perform region based matching and in general cannot be separated into one dimensional and two dimensional components. Thus, they will be given a separate analysis that is somewhat different, but not very different. Gradient based techniques [9, 26, 49, 53] compute the spatial and temporal derivatives of the intensity or functions of the intensity. These measurements define at individual points the component of flow perpendicular to edges, the normal flow. To derive these measurements the images are usually smoothed in space and time with low pass ....

A. M. Waxman, J. Wu, and F. Bergholm. Convected activation profiles and receptive fields for real measurements of short range visual motion. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 717--723, 1988.

.... approach Category Type Difficulties Parallel computers Connection machine [7] 35] 48] 51] Parsytec transputer [42] and hybrid pyramidal vision machine (AIS4000 and CSA transputer) 13] high cost, weight and power consumption Special image processing hardware PIPE [1] 11] 39] [46] , Datacube [34] and PRISM 3 [36] low precision Dedicated VLSI chips Vision Chips: gradient method [31] 44] correspondence method [12] 43] and biological receptive field design [14] 30] low resolution Non Vision Chips: analog neural networks [20] digital block matching technique [4] 18] ....

....robot s mobility is limited and radio links require considerable bandwidth and direct lineof sight. At the Perception Systems Laboratory at the National Institute of Standards and Technology, we have experienced these problems. Specialized image processing hardware such as PIPE [1] 11] 39] [46] , Datacube [34] and PRISM 3 [36] have been used for flow estimation. These machines achieve high speed with simplified arithmetic circuitry, thus the algorithms accuracies are compromised. This approach is best used in qualitative motion applications such as obstacle avoidance. Finally, there ....

Waxman, A.M., Wu J. and Bergholm F. "Convected Activation Profiles and Receptive Fields for Real Time Measurement of Short Range Visual Motion", Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Ann Arbor, MI, pp. 717-723, 1988.

.... approach Category Type Difficulties Parallel computers Connection machine [6] 26] 37] 39] Parsytec transputer [32] and hybrid pyramidal vision machine (AIS 4000 and CSA transputer) 11] high cost, weight and power consumption Image processing hardware PIPE [1] 9] 29] [35] , Datacube [25] and PRISM 3 [27] low precision Dedicated VLSI chips Vision Chips: gradient method [23] 34] correspondence method [10] 33] and biological receptive field design [12] 22] low resolution Non Vision Chips: analog neural networks [17] digital block matching technique [3] 15] ....

Waxman, A.M., Wu J. and Bergholm F. "Convected Activation Profiles and Receptive Fields for Real Time Measurement of Short Range Visual Motion", Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Ann Arbor, MI, pp. 717-723, 1988.

.... brightness derivatives, however, are difficult to compute accurately in practical applications [37] Still other optical flow algorithms have been proposed that do not require the computation of brightness derivatives including region matching algorithms [52, 53] and Fourier domain techniques [54, 55, 56, 57, 58, 59]. These algorithms, however, are quite complicated relative to HSOF and are difficult to cast in a stochastic framework. Optical Flow Methods in Cardiac Motion Estimation Several authors have used optical flow techniques to estimate heart motion from volumetric image data. Mallioux et al. 60] ....

A.M. Waxman, J. Wu, and F. Bergholm. Convected activation profiles and receptive fields for real time measurement of short range visual motion. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 717--723, Ann Arbor, Michigan, 1988.

.... We implemented nine techniques including instances of differential methods, region based matching, energy based and phase based techniques, namely those of Horn and Schunck [32] Lucas and Kanade [40, 41] Uras et al. 57] Nagel [44] Anandan [5, 6] Singh [54, 55] Heeger [30] Waxman et al. [61] and Fleet and Jepson [20, 23] Despite their differences, many of these techniques can be viewed conceptually in terms of three stages of processing: 1. prefiltering or smoothing with low pass band pass filters in order to extract signal structure of interest and to enhance the signal to noise ....

....Barron, Fleet and Beauchemin IJCV 12:1, pp43 77, 1994 15 2.4 Phase Based Techniques We refer to our fourth class of methods as phase based, because velocity is defined in terms of the phase behaviour of band pass filter outputs. For this report we have classified zerocrossing techniques [15, 17, 28, 61] as phase based methods because zero crossings can be viewed as level phase crossings. The generalized use of phase information for optical flow was first developed by Fleet and Jepson [20, 23] Waxman, Wu and Bergholm Waxman, Wu and Bergholm [61] apply spatiotemporal filters to binary edge maps ....

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Waxman A.M., Wu J. and Bergholm F. (1988) Convected activation profiles and receptive fields for real time measurement of short range visual motion. Proc. IEEE CVPR, Ann Arbor, pp. 717-723

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A. M. Waxman, J. Wu and F. Bergholm, "Convected Activation Profiles and Receptive Fields for Real Time Measurement of Short Range Visual Motion", Proc. IEEE CVPR, 1988.

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