1
0
mirror of https://github.com/opencv/opencv.git synced 2026-07-31 00:03:03 +04:00

Merge pull request #13794 from alalek:backport_13786

This commit is contained in:
Alexander Alekhin
2019-02-11 14:05:43 +00:00
14 changed files with 18 additions and 18 deletions
+1 -1
View File
@@ -12,7 +12,7 @@ python gen_pattern.py -o out.svg -r 11 -c 8 -T circles -s 20.0 -R 5.0 -u mm -w 2
-u, --units - mm, inches, px, m (default mm)
-w, --page_width - page width in units (default 216)
-h, --page_height - page height in units (default 279)
-a, --page_size - page size (default A4), supercedes -h -w arguments
-a, --page_size - page size (default A4), supersedes -h -w arguments
-H, --help - show help
"""
@@ -12,7 +12,7 @@ Theory
We know SIFT uses 128-dim vector for descriptors. Since it is using floating point numbers, it takes
basically 512 bytes. Similarly SURF also takes minimum of 256 bytes (for 64-dim). Creating such a
vector for thousands of features takes a lot of memory which are not feasible for resouce-constraint
vector for thousands of features takes a lot of memory which are not feasible for resource-constraint
applications especially for embedded systems. Larger the memory, longer the time it takes for
matching.