gedex’s blog

Sebelumnya saya cerita sempat menyinggung tentang CERC. Bagi yang belum tahu bisa baca awal mula CERC (penting gak sich?). Tim CERC berangkat dari kampus hari kamis (25 April 2008) sekitar pukul 12.30 (setelah dzuhur). Kami menggunakan bus kampus untuk menampung 4 kawan CERC, 3 dosen kampus dan track kualifikasi serta tools robot. Dua Mobil pribadi untuk menampung 1 dosen dan 5 kawan CERC. Bagaimana dengan suporter? Mmhh.. kami tidak kepikiran, padahalkan kampus kami kan kampus sejuta umat (melihat jumlah mahasiswanya yang begitu banyak), maybe next year bisa mengangkut suporter. Sebelum berangkat, kami bernarsis dulu di depan bus kampus:Read the rest of this entry »

Fiuh, dari hari rabu belum pulang, dan akhirnya hari sabtu kemarin alhamdulillah sampai ke bekasi juga dan bisa ganti “CD”. Postingan kemarin sebenarnya merupakan postingan yang gw tulis malam kamis di kampus saat sebelum berangkat ke Bandung untuk mengikuti lomba galelobot 2008. Banyak yang ingin gw tulis selama berada di Bandung, tapi karena sulitnya mendapatkan akses internet terpaksa gw tahan birahi untuk menulis. Dari 3 hari kebersamaan dengan tim CERC di Bandung tanpa berada di depan kompie, gw mulai dapat mengenal beberapa karakter teman-teman CERC dan banyak hal lain yang bisa dipelajari (rasa kebersamaan serta bagaimana menjaga sikap di turnamen) dan hal yang akan dipelajari (teknologi robot dari tim lain). Ada seorang teman yang sangat sensitif, ya mudah-mudahan teman CERC yang lainnya bisa menjaga kelakuan terhadap teman kita yang satu ini, sungguh sebenarnya dia anak yang sangat baik dan penurut.

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Setelah bergadang dengan 3 teman CERC lainnya, kemarin tiba-tiba nabi memberitahu bahwa akan ada tim UGNews yang akan mewancara. Terpaksa gw ama Memet ngacir. Setelah beberapa menit, akhirnya gw kembali ke bengkel. Eh, gw kira sudah kelar, taunya foto-foto. Jah, males bet dah.. Jujur bay, gw sudah berusaha menghindar dari hal ini, tapi tetap disuruh berpose bersama teman-teman lainnya. Sumpah gw gak ada maksud buat terlihat exist atau bernarsis ria, gw dah berusaha kabur. Mudah-mudahan bukan yang ada photo gw yang ditampilin. Gw dah trauma diwawancara, masuk ke pemberitaan, terpampang wajah tampan gw (ini fitnah dari kawan-kawan CERC) dan apa yang ditulis terkadang hiperbola dan tidak sesuai dengan kapasitas gw sebenarnya. Ya gw tau terkadang tulisan perlu hiperbola agar menarik perhatian pembaca, tapi ada beberapa orang yang tidak menyukai hal ini. Peace tim UGNews, no offense.

This is not about Sam Baldwin (Tom Hanks) and Annie Reed (Meg Ryan) story. Sleepless, for debuging damn robot program. Now we, CERCier, use 9 PINGs, applying different rules in FL and  matching new weight for new PING position. Fortunately, i’ve charged myself before, thank you awesome (what your sister called you? Diah, gyah.. where it comes from? WiDias… btw, it’s not ‘H‘, but whatever) for accompanying my lunch, that’s what i call charging myself. Fiuh, the clock shows 02.35 AM, none of my tasks are done, what a life.

Now i wonder why is so hard to accomplish two totally different area projects. For example, you are noobs in signal processing and you’ve to build apps based on voice recognition. In the same time, you are a top guy in developing web apps where you get money from there. But you are also a nice guy who helps your friends finishing their tasks, say microcontroller projects (this will never hurt you in case you’re happy to do that). But, i felt this situation makes myself being trapped. So i decide not to develop some apps from scratch. OK, sorry too much bullshit here.. lets move ahead.

If you trying to build Computer Vision apps, these libraries will shorten your project time :

• OpenCV (Open Source Computer Vision Library). This libray covers large areas of computer vision. Some demos (apps that come with the library) are included. The only reason why i use this library for my face recognition project is the community where i can get answer from annoying problems. OpenCV Wiki is a good start to get answer, then you can go to OpenCV Forums at Yahoo Groups.
• Torch3vision (The Vision Package of Torch), a machine vision library based on Torch (a machine learning library written in simple C++ and developed at IDIAP). Sebastien Marcel, one of the developers, gives some demos based on real-time face detection & recognition using Torch3vision available on his homepage. It’s awesome dude. He also gives information in comparison between OpenCV face detector and IDIAP face detector.
• MPT (Machine Perception Toolbox) which is developed at machine perception laboratory of UCSD. It supplies cross-platform libraries for real-time perception primitives, including face detection, eye detection, blink detection, color tracking. Soon it will also include expression recognition, predictive color tracking, and tracking based on multisensor fusion. You should see some examples (screenshoots of application) which use this library.
• Collection of computer vision software (with source code) at School of Computer Science / CMU.

So why you should build code which already built by top guys? If you have suggestions to be listed above just tell me, or you maybe interested to join with me in my face recognition project