Precompiling a Geometrical Model into an Interpretation Tree for Object Recognition in Bin-picking Tasks

ثبت نشده
چکیده

Given a 3D solid modcl of an object, we fint g e n m apparent shapes of an object unda vaxi w directions. Those appartnt shapes an then classit?ed into groups (rrp~esentative attitudes) based on dominant visible faces and other features. Basedon the gmuphg, id@genaatedin the farm of interprrtarion me. "le intapraation tree collsisp of two pam: the fint pan for ciadying a target region in an image into one of the shape groups, and the second pan fm determining the pncise atsitudc of the object within that p u p . We have dnreioped a set of des to find out what

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Generating an interpretation tree from a CAD model to represent object configurations for bin-picking tasks

This research was sponsored by the Defense Advanced Research Projects Agency, DOD, through A R P A Order No. 4976, and monitored by the Air Force Avionics Laboratory under contract F33615-84-K-1520. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advance...

متن کامل

Automatic Generation of Object Recognition Programs

This paper discusses issues and techniques to automatically compile object and sensor models into a visual recognition strategy for recognizing and locating an object in three-dimensional space from visual data. Historically, and even today, most successful model-based vision programs are handwritten; relevant knowledge of objects for recognition is extracted from examples of the object, tailor...

متن کامل

Towards automatic generation of object recognition programs

This paper discusses issues and techniques to automatically compile object and sensor models into a visual recognition strategy for recognizing and locating an object in three-dimensional space from visual data. Historically, and even today, most successful model-based vision programs are handwritten; relevant knowledge of objects for recognition is extracted from examples of the object, tailor...

متن کامل

Experimental State of the Art in 3 D Object

This paper discusses current state of the art research at the Purdue Robot Vision Lab in the area of 3D object recognition and localization using range data. We review three approaches to model representation: feature spheres, Local Feature Sets, and multiple-attribute hash tables. The incorporation of these three representational schemes into the MULTI-HASH bin-picking system has resulted in s...

متن کامل

Recognition of the multi specularity objects for bin-picking task

T h i s paper describes a me thod f o r recognizing partially occluded objects for bin-picking ta sks using the eigen-space analysis. A l though effective in recognizing a n isolated object, as was shown by Murase and N a y a r , t h e current method can n o t be applied t o piratically occluded objects t ha t are typical in bin-picking tasks . T h e analysis also requires tha t t he object is ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1987