Uploads by Peter
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Date | Name | Thumbnail | Size | Description | Versions |
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06:57, 18 April 2012 | Calib stereo.jpg (file) | ![]() |
27 KB | Image of a calibration grid with lens distortion removed and rectification. Taken by a PtGrey Bumblebee camera. | 1 |
06:27, 18 April 2012 | Calib mono.jpg (file) | ![]() |
66 KB | Demonstration of monocular camera calibration. Left is uncalibrated image and the right is a calibrated image with radial distortion removed. Numbers and points are superimposed on the image to show calibration points on the target. | 1 |
13:02, 26 January 2012 | Boofcv logo 200px.jpg (file) | ![]() |
27 KB | white background | 2 |
20:06, 5 January 2012 | Loose-lips.jpg (file) | ![]() |
24 KB | BoofCV propaganda | 1 |
19:42, 5 January 2012 | Boofcv bug propaganda poster small.jpg (file) | ![]() |
18 KB | Propaganda Poster Bugs | 1 |
10:29, 2 January 2012 | Stitch rainforest.jpg (file) | ![]() |
45 KB | Now in color | 2 |
10:28, 2 January 2012 | Stitch mountain.jpg (file) | ![]() |
35 KB | Now in color | 2 |
10:23, 2 January 2012 | Stitch kayaking.jpg (file) | ![]() |
43 KB | Now in color | 2 |
18:14, 20 December 2011 | Example detect linesegments.jpg (file) | ![]() |
14 KB | Example of detected line segments | 1 |
18:13, 20 December 2011 | Example detect line.jpg (file) | ![]() |
19 KB | Example of detecting lines using a hough polar. | 1 |
20:17, 7 December 2011 | Example lena denoise denoised.jpg (file) | ![]() |
15 KB | Example of an image that had Gaussian noise added, but was filtered through a wavelet based image noise remover. | 1 |
20:15, 7 December 2011 | Example lena denoise noisy.jpg (file) | ![]() |
28 KB | Example of a noisy image. | 1 |
18:18, 22 November 2011 | Example tracking points.jpg (file) | ![]() |
57 KB | Output from point feature tracking example | 1 |
16:14, 18 November 2011 | Example associate point.jpg (file) | ![]() |
40 KB | Example showing associated point features between two images. | 1 |
04:41, 2 November 2011 | Example interestpoint detected.jpg (file) | ![]() |
48 KB | Detected fast hessian features in sun flower image. | 1 |
08:57, 1 November 2011 | Example image pyramid.png (file) | ![]() |
8 KB | Cartoon of an image pyramid using 1,2,4 scaling. | 1 |
08:16, 1 November 2011 | Example pyramid.jpg (file) | ![]() |
35 KB | Visualization of a discrete image pyramid. | 1 |
15:03, 31 October 2011 | Main-page-graph-icon.png (file) | ![]() |
16 KB | Made by Peter Abeles | 1 |
15:00, 31 October 2011 | Main-page-help-icon.png (file) | ![]() |
17 KB | Create by Peter Abeles | 1 |
14:16, 31 October 2011 | Main-page-binary-icon.png (file) | ![]() |
14 KB | http://www.iconarchive.com/show/glaze-icons-by-mart/binary-icon.html Artist: Mart License: GNU Lesser General Public License Commercial usage: Allowed | 1 |
06:20, 25 October 2011 | Performance-descriptor-Bricks.jpg (file) | ![]() |
5 KB | 1 | |
06:20, 25 October 2011 | Performance-descriptor-Trees.jpg (file) | ![]() |
7 KB | 1 | |
06:19, 25 October 2011 | Performance-descriptor-Boat.jpg (file) | ![]() |
4 KB | 1 | |
06:15, 25 October 2011 | Performance-descriptor-Graffiti.jpg (file) | ![]() |
7 KB | Image from http://www.robots.ox.ac.uk/~vgg/research/affine/ | 1 |
13:37, 18 October 2011 | Particles01.jpg (file) | ![]() |
41 KB | Nano Particles from TEM image. | 1 |
13:31, 18 October 2011 | Example image filter.jpg (file) | ![]() |
16 KB | Image derivative along x-axis after Gaussian blur has been applied to the input image. | 1 |
13:26, 18 October 2011 | Example lenna gaussianblur.jpg (file) | ![]() |
11 KB | Lenna test image after Gaussian blur has been applied to it. Kernel size is 11 by 11. | 1 |
13:19, 18 October 2011 | Lenna gray.jpg (file) | ![]() |
20 KB | Lenna standard test image. Note that this image has been compressed and is no longer useful for testing purposes. | 1 |
13:16, 18 October 2011 | Example lenna gaussianblur5.jpg (file) | ![]() |
29 KB | Lenna testing image after a 5x5 Gaussian blur has been applied to it. | 1 |
11:20, 18 October 2011 | Example binary labeled.png (file) | ![]() |
18 KB | Labeled binary image of TEM particles. Threshold was selected using the mean pixel intensity and filtered using erosion and dilation. | 1 |