Searched refs:detection (Results 1 – 25 of 270) sorted by relevance
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| /external/libxml2/os400/libxmlrpg/ |
| D | xlink.rpgle | 1 * Summary: unfinished XLink detection module
2 * Description: unfinished XLink detection module
18 * NOTE: the link detection layer will try to resolve QName expansion
20 * then the link detection layer will expand role="foo:myrole"
22 * NOTE: the link detection layer will expand URI-Refences found on
61 * This is the prototype for the link detection routine.
62 * It calls the default link detection callbacks upon link detection.
68 * The link detection module interact with the upper layers using
78 * This is the prototype for a simple link detection callback.
99 * This is the prototype for a extended link detection callback.
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| /external/webrtc/webrtc/modules/audio_processing/transient/test/ |
| D | readDetection.m | 4 %Reads a detection signal from a DAT file.
6 %d: The detection signal.
9 %file: The DAT file where the detection signal is stored in float format.
11 %chunkSize: The chunk size used for the detection in seconds.
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| D | plotDetection.m | 4 %Plots the signal alongside the detection values.
7 %DATfile: The file containing the detection values in binary float format.
9 %chunkSize: The chunk size used to compute the detection values in seconds.
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| /external/opencv3/doc/tutorials/imgproc/imgtrans/hough_circle/ |
| D | hough_circle.markdown | 18 - In the line detection case, a line was defined by two parameters \f$(r, \theta)\f$. In the circ…
28 - For sake of efficiency, OpenCV implements a detection method slightly trickier than the standard
30 stage involves edge detection and finding the possible circle centers and the second stage finds
61 -# Apply a Gaussian blur to reduce noise and avoid false circle detection:
76 - *HOUGH_GRADIENT*: Define the detection method. Currently this is the only one available in
81 - *param_2* = 100\*: Threshold for center detection.
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| /external/deqp/framework/delibs/cmake/ |
| D | Defs.cmake | 29 # \todo [pyry] More intelligent detection, perhaps use some script?
48 # Os detection
77 # Compiler detection
107 # Pointer size detection
116 # CPU detection
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| /external/opencv3/doc/py_tutorials/py_objdetect/py_face_detection/ |
| D | py_face_detection.markdown | 9 - We will see the basics of face detection using Haar Feature-based Cascade Classifiers
10 - We will extend the same for eye detection etc.
15 Object Detection using Haar feature-based cascade classifiers is an effective object detection
21 Here we will work with face detection. Initially, the algorithm needs a lot of positive images
56 200 features provide detection with 95% accuracy. Their final setup had around 6000 features.
80 So this is a simple intuitive explanation of how Viola-Jones face detection works. Read paper for
90 Here we will deal with detection. OpenCV already contains many pre-trained classifiers for face,
108 detection on this ROI (since eyes are always on the face !!! ).
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| /external/opencv3/samples/android/ |
| D | CMakeLists.txt | 10 add_subdirectory(face-detection)
13 add_subdirectory(color-blob-detection)
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| /external/opencv3/doc/tutorials/objdetect/cascade_classifier/ |
| D | cascade_classifier.markdown | 12 - @ref cv::CascadeClassifier::detectMultiScale to perform the detection.
22 . The second version (using LBP for face detection) can be [found
43 String window_name = "Capture - Face detection";
126 detection. For the eyes we keep using the file used in the tutorial.
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| /external/zlib/src/doc/ |
| D | txtvsbin.txt | 10 this may appear like a simple task, a fully accurate detection of the
16 were using a crude detection scheme: if more than 80% (4/5) of the bytes
28 In this article we propose a new, simple detection scheme that features
72 detection schemes observe the presence of non-ASCII codes from the range
93 be regarded as binary by general-purpose text detection schemes, because
95 Under this premise, it is safe to say that our detection method provides
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| /external/opencv3/samples/java/sbt/ |
| D | README | 2 1) feature detection and matching and
3 2) face detection.
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| /external/clang/docs/ |
| D | LeakSanitizer.rst | 12 :doc:`AddressSanitizer` to get both memory error and leak detection.
14 The LeakSanitizer runtime can also be linked in separately to get leak detection
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| /external/libvpx/libvpx/vp9/encoder/x86/ |
| D | vp9_highbd_error_avx.asm | 101 pxor xm5, xm5 ; overflow detection register for xm4
103 pxor xm7, xm7 ; overflow detection register for xm6
148 por xm5, xm4 ; OR in the accumulator for overflow detection
149 por xm7, xm6 ; OR in the accumulator for overflow detection
155 por xm5, xm4 ; OR in the accumulator for overflow detection
157 por xm7, xm6 ; OR in the accumulator for overflow detection
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| /external/opencv3/doc/py_tutorials/ |
| D | py_tutorials.markdown | 51 will object detection techniques like face detection etc.
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| /external/valgrind/helgrind/ |
| D | README_YARD.txt | 10 It uses a new and relatively simple race detection engine, based on
16 * Modularity. The entire race detection engine is placed in a
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| /external/autotest/test_suites/ |
| D | control.kernel_usb | 7 PURPOSE = "USB peripherals detection."
19 for ARM and non-ARM boards. USB detection tests will be exercizing
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| /external/opencv3/doc/tutorials/features2d/feature_detection/ |
| D | feature_detection.markdown | 11 detection process
82 -# Here is the result of the feature detection applied to the first image:
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| /external/opencv3/doc/py_tutorials/py_imgproc/py_canny/ |
| D | py_canny.markdown | 9 - Concept of Canny edge detection
15 Canny Edge Detection is a popular edge detection algorithm. It was developed by John F. Canny in
20 …Since edge detection is susceptible to noise in the image, first step is to remove the noise in the
110 -# Write a small application to find the Canny edge detection whose threshold values can be varied
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| /external/clang/test/Driver/Inputs/montavista_i686_tree/usr/lib/gcc/i686-montavista-linux/4.2.0/ |
| D | libgcc.a | 1 dummy file for gcc toolchain detection (libgcc.a)
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| D | crtbegin.o | 1 dummy file for gcc toolchain detection (crtbegin.o)
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| /external/opencv3/doc/py_tutorials/py_objdetect/ |
| D | py_table_of_contents_objdetect.markdown | 6 Face detection
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| /external/opencv3/doc/py_tutorials/py_feature2d/ |
| D | py_table_of_contents_feature2d.markdown | 17 Shi-Tomasi corner detection
33 detection methods are good in some way. But they are not fast enough to work in real-time
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| /external/opencv3/samples/android/color-blob-detection/ |
| D | CMakeLists.txt | 1 set(sample example-color-blob-detection)
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| /external/opencv3/doc/ |
| D | opencv.bib | 143 title = {A computational approach to edge detection},
189 title = {Histograms of oriented gradients for human detection},
226 title = {Foreground object detection from videos containing complex background},
272 title = {Object detection with discriminatively trained part-based models},
326 title = {Bidimensional shape detection using an invariant approach},
430 title = {An extended set of haar-like features for rapid object detection},
476 …tle = {An improved adaptive background mixture model for real-time tracking with shadow detection},
489 title = {Robust detection of lines using the progressive probabilistic hough transform},
622 title = {Machine learning for high-speed corner detection},
705 title = {On the detection of dominant points on digital curves},
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| /external/opencv3/samples/android/face-detection/ |
| D | CMakeLists.txt | 1 set(sample example-face-detection)
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| /external/libusb/ |
| D | TODO | 3 optional timerfd support (runtime detection)
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