Object recognition with constrained elastic models
نویسندگان
چکیده
منابع مشابه
Object Recognition with 3D Models
Intro: We propose several new ideas of how to use 3D models for viewbased object recognition. In an initial experiment we show that even the simple task of distinguishing between two objects requires large training sets if high accuracy and pose invariance are to be achieved. Using synthetic image data, we propose a method for quantifying the degree of difficulty of detecting objects across vie...
متن کاملBONSAI: 3D object recognition using constrained search
Computer vision systems that identify and localize instances of predefined 3-D models in images offer many potential benefits to industrial and other environments. In many of these areas, solid models of the parts to be recognized already exist, and redesign of the part geometry for vision tasks should be avoided. This paper describes BONSAI, which is a model-based 3-D object recognition system...
متن کاملObject Recognition with Hierarchical Stel Models
We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment multiple images into a consistent set of image regions. The segmentations are provided at several levels of granularity and links among them are automatically provided. Model training and inference in it is faster than most loc...
متن کاملControlling Search in Constrained-Object Models
A constrained-object model is a collection of classes parameterized by constraints and connected through composition and inheritance relations. A class is classically a factory of objects, that correctly linked are able to smoothly capture the inherent structure of complex and large constraint-based problems. Constrained-object languages are mainly focused on the definition of object-oriented, ...
متن کاملLearning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an object is represented in terms of a model shape. A new shape is classified as being an instance of the object when the Hausdorff distance between the model and the new shape is small. We show that such object concepts ca...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical and Computer Modelling
سال: 1995
ISSN: 0895-7177
DOI: 10.1016/0895-7177(95)00132-l