RELEASE INFO L.A. Noire: The Complete Edition v1.1.2406.1 *Update* (c) by Team Bondi Date: 25-12-2011 Protection: GameShield Release: Cracked by Ignite * Either install the cracked update on top of existing installation: - decrypted DLC content for faster loading; - protection-related bugs are fixed. (no longer depends on folder path, no longer blocks 3rd party software) * Or use the included patch: - copy the patch corresponding to your current game version to the game directory to be able to install it; - protection-related bugs are fixed for the included patches and for the cracked 'LANoire.exe'; - backup the original 'LANoire.exe' before replacing with the cracked file for compatibility with future patches. * Framerate commandline option is available for both cases: - use -fps switch for setting the desired engine FPS rate, at your own risk. Usage examples: -fps29.97 (default) -fps59.94 -fps60 -fps84.915 -fps120 (based on solution explained by jackfuste) ABOUT US / NEWS We are just another small non-scene group who started in 2007. Since then we became a bit more skilled, now we have done over 3000 quality releases, and we hope to bring you more of them. We are seeking for new talents: - Coders If you have any good experience and want - Crackers to join us - read CONTACT section for - GFX artists details. - Keygenners - Suppliers There will be requirements. - Others? And there will be cookies as well. :) // A birthday! Another comet has collided with our planet. Unclear if it was bigger than previous one or not, but at least we can count to 4 now. NOTES Our releases are always virus-free. If you think you found something suspicious, it's a problem of your security software. All those antivirus systems will never be too smart, so don't complain. And always remember that we are not responsible for modified releases. We aren't stealing releases. We respect hard work of other people and always indicate original authors of releases. We have permissions to use their files. We are doing all this for fun and knowledge only. Always remember to support the developers if you like the product and its quality. MEMBERS 420Gamer [ gfxer, webdeveloper, trial ] + apelord [ coder, cracker, trial ] + Astra [ tester, trial ] + casanova [ cracker, trial ] + Chanman [ gfxer, trial ] + FrenFolio [ coder, cracker ] + Ignite [ cracker ] + Illusion [ coder, cracker ] + Liandri [ supplier, founder ] + Razor73 [ sysop ] - s2003r [ cracker, supplier ] + SupaSta [ supplier ] + Sigma9o9 [ sysop ] - s0l_ir0n [ coder, cracker ] - GREETINGS Coffee Man Ghandi otti progopis ph0enix rESin russiankid Soda Lastway Zerok LnDL REVENGE TRiViUM TSRh UnderSEH All friends and great people who always do their best. INGS CIY [ >20 stolen releases ] EyM [ 3 stolen releases ] OUTLAWS [ guys, no more please *facepalm* ] SLAM [ 5 stolen releases ] VACE [ 16 stolen releases ] All other thieves, rippers, leechers, repackers, liars and selfish people. You know who you are! (we know it too) CONTACT Web none IRC irc://irc.dawgclan.net:6667/theta E-mail (no requests) theta[dot]pub[at]gmail[dot]com ANSI logo & NFO layout Original character by Liandri by Neostream Updated: 30/10/2011
Target detection is a very important and basic problem of computer vision and image processing. The most often case we meet in real world is a detection task for a moving-small target on moving platform. The commonly used methods, such as Registration-based suppression, can hardly achieve a desired result. To crack this hard nut, we introduce a Global-local registration based suppression method. Differ from the traditional ones, the proposed Global-local Registration Strategy consider both the global consistency and the local diversity of the background, obtain a better performance than normal background suppression methods. In this paper, we first discussed the features about the small-moving target detection on unstable platform. Then we introduced a new strategy and conducted an experiment to confirm its noisy stability. In the end, we confirmed the background suppression method based on global-local registration strategy has a better perform in moving target detection on moving platform.
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