A. Pope and D. Lowe, "Vista: A software environment for computer vision research," in IEEE Conference on Computer Vision and Pattern Recognition, 1994.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....capabilities operating on much longer timescales. RECIPE provides a framework for generating code for controlling IP and IP related activities under the guidance (online synthesis, scripting) of a reasoning and planning system. Likewise, there are very many good IP frameworks freely available [7, 8, 9, 10] with a wide variety of abilities and features and, in addition, most IP research groups have their own home grown software. RECIPE provides a platform neutral framework for simply and generically encapsulating IP algorithms together with mechanisms for capture and distribution of image data. ....

A. Pope and D. Lowe, "Vista: a software environment for computer vision research," in Proceedings 1994.

....repetition of foreground or background images in the composite images. For each recognition trial, 150 composite images were partitioned into a tree growing set of 50 images, a holdout set of 50 images, and a test set of 40 50 images. Edges were detected on all images using the Vista line finder[27]; for computational reasons we sample the detected edges at 5 pixel intervals and classify the edge samples. In each image, the ratio of the number of background edge pixels to foreground edge pixels is approximately 10 : 1. We arranged the probe centers in concentric rings as in Figure 3(a) The ....

Arthur Pope and David Lowe. Vista: A software environment for computer vision research. In Proc. CVPR, 1994.

....and linking. The Vista computer vision software developed by Pope and Lowe decrease in potential energy; we feel this is unnecessary for the current application. 10 Level 2 (25 of original curve) Level 4 (6.25 of original curve) Fig. 7. Example of haptic exploration of Olympic flame image [13] was used for this purpose. Specifically, an implementation of the Canny edge detector is used to extract edges, which are then linked using hysteresis thresholding. The figure also shows the boundary curve and bounding boxes at different resolution levels overlaid on the image. Note that bounding ....

A. Pope and D. Lowe. Vista: A Software Environment for Computer Vision Research. CVPR 1994. URL: http://www.cs.ubc.ca/nest/lci/vista/vista.html.

.... and computation of derivatives via Fourier transformation in cartesian, gradient and curvature coordinates, as well as algorithms for the computation of zerocrossings in 2 and 3 dimensions, and the computation of ridges without and with scale selection were written based on the free Vista library [Pope and Lowe, 1994] from the University of British Columbia. Chapter 2 Scale Space This chapter introduces the scale space representation of image data that replaces an image by a family of smoothed versions of the same image. The scale space representation has proved useful to the task of vision because with ....

Pope, A. and Lowe, D. (1994). Vista: A software environment for computer vision research. In Proceedings, CVPR '94, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 768--772, Seattle, WA.

....of these approaches in the context of the simple blocks world situation. Section 4 presents a real world example: identifying cars from their rear tail light assemblies. The extended [IG01] provides a survey of the related work, placing our work in the context of related frameworks for building [PL94] and analysing [RH92] vision system; and of related approaches, such as information theory [GJ96] and influence diagrams [LAB90] It also discusses other applications of our framework in particular, showing that it can be used when recognizing faces, within the modern eigenvector approach. ....

A R Pope and D Lowe. Vista: A software environment for computer vision research. In IEEE CVPR, 1994.

....implemented a version of the Harris corner detector [32] and matched the points using a simple RANSAC (random sample consensus) type algorithm [23] We then eliminated visible bad matches by hand. The line segments were extracted in images using the publicly available software environment VISTA [89] and the line correspondences are established by hand. We assume that the images in these data sets are obtained using a paraperspective camera and wepick the center of mass of the observed points as our rst reference point A # . The other two reference points are chosen by the user. 75 ###### ....

A.R. Pope and D.G. Lowe. Vista: A software environment for computer vision research. In Proc. IEEE Conf. Comp. Vision Patt. Recog., pages 768-772, 1994.

....imaging operators, which quantify how they should work [Har94; RH92] We hope to use these results to quantify the effectiveness of our operators, to help our algorithms decide when to use each. There is also work on building platforms that allow a user to manually assemble these operators [Fua97; PL94] often using an expert system style approach [Mat89] Here, we are taking a step towards automating this process, wrt some given task. In particular, our approach suggests a way to automatically assemble the appropriate imaging operators (i.e. without human intervention) as required to ....

A. Pope and D. Lowe. Vista: A software environment for computer vision research. In IEEE CVPR, 1994.

....from the command line, from a Unixshell script or from a mouse driven graphical user interface. Most programs additionally run in a parallelized version implemented on a 16 processor parallel computer (SGI origin 2000) The data format used in LIPSIA is based on a software package called Vista [26]. Vista offers a versatile data format that can be customized to specific applications. In LIPSIA, fMRI time series data are stored in a 4D format requiring only one data file per subject. The 2D structural slices that are acquired along with the functional data are stored in the same file so that ....

A. Pope, D. Lowe. Vista: A software environment for computer vision research. In Int. Conf. on Computer Vision and Pattern Recognition, Seattle, Wash., 1994. (see also: http://www.cs.ubc.ca/labs/lci/vista/vista.html).

....growing [8] We replaced this curve nder rst with a canny edge detector and linker, then with a multiscale version of Nelson s algorithm and we analyzed the results. 6. 1 Using the canny edge detector and linker We used the canny edge detector and linker from the VISTA software environment [10]. The canny linker behaves in a di erent way than Nelson s algorithm, in particular it doesn t break curves at corners. Curves obtained this way vary more rapidly in case of a change in object orientation or lighting, and are more dicult to nd. In addition, the canny linker misses some of the ....

A. Pope and D. Lowe. Vista: a software environment for computer vision research. In IEEE Conference on Computer Vision and Pattern Recognition, pages 768-72, Seattle, WA, June 1994.

.... problem is to find the appropriate library that can meet the needs of the application, if any [1] There are also issues of proprietary code and licensing (this issue is also common in the other approaches as well) Non proprietary public domain libraries do exist, such as CVIPtools [2] and Vista [3]. But these libraries are not suitable, as most of them target the Unix platform, do not support live video capture or networking, and are oriented at pure research and courseware as opposed to rapid prototyping and product development. Another general problem with pure programming libraries is ....

Pope, A., and Lowe, D., "Vista: A Software Environment for Computer Vision Research," In Proc. CVPR 1994, pp. 768-772.

....growing [6] We replaced this curve finder first with a canny edge detector and linker, then with a multiscale version of Nelson s algorithm and we analyzed the results. 5.1. Using the canny edge detector and linker We used the canny edge detector and linker from the VISTA software environment [7]. The canny linker behaves in a different way than Nelson s algorithm, in particular it doesn t break curves at corners. Curves obtained this way vary more rapidly in case of a change in object orientation or lighting, and are more difficult to find. In addition, the canny linker misses some of ....

A. Pope and D. Lowe. Vista: a software environment for computer vision research. In IEEE Conference on Computer Vision and Pattern Recognition, pages 768--72, Seattle, WA, June 1994.

....systems. These systems provide flexible and powerful image processing tools in a framework of general applicability and invite closest comparison with RECIPE. Particular examples are Khoros [26] and Advanced Khoros [27] TargetJR which is closely related to IUE [28, 29] Gargoyle [30] Vista [31] and the Windows specific MIL [32] We should also mention the visual capabilities of such systems as Maple and Mathematica as well as general image processing libraries such as IPRS [33] KUIM, pbmplus and netpbm, and ImageMagick The systems listed as general image processing systems require ....

A. Pope and D. Lowe, "Vista: a software environment for computer vision research," in Proceedings 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 768--772, IEEE Computer Society Press, June 1994.

....a small number of well understood primitive operations: convolution, pixelwise arithmetic, point transforms and so on. Most image processing environments provide encapsulated implementations of these primitives. These may take the form of subroutine libraries [27] stand alone executable programs [28, 37] or primitive commands in a textual or graphic shell [50] interactive composition of primitives: Most modern systems allow users to invoke sequences of primitive operations interactively and observe the results. Often the primitives are made available as stand alone executables operating on ....

....or graphic shell [50] interactive composition of primitives: Most modern systems allow users to invoke sequences of primitive operations interactively and observe the results. Often the primitives are made available as stand alone executables operating on files or pipes, as in HIPS [28] Vista [37] and the Khoros base system [38] Other systems provide invocation via menus [4, 50] Some systems allow primitives to be both defined and invoked using an interactive interpreted language such as LISP [29] or tcl [10,35] analysis and display: All systems provide some facility for examining the ....

A. R. Pope and D. G. Lowe, Vista: A software environment for computer vision research, in Proc. IEEE Comp. Soc. Conf. on Computer Vision and Pattern Recognition, Seattle, 1994, pp. 768-772.

....analysis, further limiting the influence of image noise. Edge line intersection finally leads to the precise corner points. By all this we cut processing time by a factor of about 10 compared e.g. to the standard edge extraction algorithm implemented in the image processing software Vista [10], thus enabling feature extraction with a frame rate of 10 Hz for 287x736 8bit grey level images on general purpose standard hardware (i860 at 40 MHz) Fig. 2. from left to right: shows a grey level image, the intermediate contour spots as an enlargement of the lower left central part, and the ....

A.R. Pope and D.G. Lowe. Vista: A software environment for computer vision research. In Proc. Int. Conf. on Computer Vision and Pattern Recognition, pages 768--772, 1994.

....picture stream (stream of image frames) and l an audio stream. The picture stream is regarded as a stream of 3 dimensional data. The dimensions are the x coordinate, the ycoordinate, and the color component (red, green, blue) of pixels consisting of byte element values ranging from 0 to 255 [11] [12]. The audio stream is defined as a 1 dimensional stream since there is always a vector of samples in relation to a video frame. We call that vector of samples audio frame. Both frame types, audio and video, are our basic data units in MoCA. We thus interpret a movie as a series of video and audio ....

....5 under Solaris 2.4 using C and Tcl Tk 7.4 4.0 [9] The implementation comprises about 4000 lines of Tcl Tk code and 4600 lines of C code. For the MoCA Workbench a new Tcl interpreter was created, extended by our image and video processing algorithms [1] the Vista library 1. 3 [11] [12], the DEC AudioFile V3.0 [4] and a JPEG image loader. The movies were recorded from German television, digitized by a parallax video card, and stored as M JPEG [10] Currently, we are developing new fast 2D and 3D visualization widgets for our Tcl Tk interpreter. Moreover, the base of available ....

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Arthur R. Pope and David G. Lowe. Vista: A Software Environment for Computer Vision Research. Department of Computer Science, University of British Columbia, Vancouver.

....an equilibrium, containing the most consistent features with representative populations of sample attribute vectors and positions for each. 6 Experimental Results A system that learns a single, characteristic view has been implemented using facilities of the Vista computer vision environment [21]; implementation of the clustering procedure needed to learn multiple views is in progress. The system recognizes 3 D objects in 2 D intensity images, employing a repertoire of features designed to describe the appearance of manufactured objects. Straight and circular segments of intensity edges ....

A. R. Pope and D. G. Lowe. Vista: A software environment for computer vision research. In Proc. Conf. Comput. Vision and Patt. Recognit., pages 768-- 772, 1994. WWW http://www.cs.ubc.ca/nest/lci/vista/vista.html. 30 POPE AND LOWE

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A. Pope and D. Lowe, "Vista: A software environment for computer vision research," in IEEE Conference on Computer Vision and Pattern Recognition, 1994.

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Arthur Pope and David Lowe. Vista: A software environment for computer vision research. In Proceedings IEEE Conference On Computer Vision And Pattern Recognition, 1994. 178

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Arthur Pope and David Lowe. Vista: A software environment for computer vision research. In Proceedings IEEE Conference On Computer Vision And Pattern Recognition, 1994.

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A. Pope and D. Lowe, Vista: a software environment for computer vision research, http://www.cs.ubc.ca/nest/lci/vista/vista.html. 18 Biographical Sketches Guy Windreich was born in 1969.

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A. Pope and D. Lowe. Vista: A software environment for computer vision research. In Proc. CVPR, 1994.

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Pope AR, Lowe DG. Vista: a software environment for computer vision research. In: Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR94), 1994.

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A.R. Pope and D.G. Lowe. Vista: A software environment for computer vision research. . In Proc. Int. Conf. on Computer Vision and Pattern Recognition, 1994.

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A. R. Pope and D. G. Lowe, \Vista: A software environment for computer vision research`, in Proc. IEEE-CS Conference on Computer Vision and Pattern Recognition, pp. 768-772, 1994.

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A. R. Pope, D. G. Lowe, "Vista: A Software Environment for Computer Vision Research", Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pp. 768--772, 1994.

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