Feature Extraction from Sketches of Objects
نویسندگان
چکیده
منابع مشابه
Resonance Based Feature Extraction of 3D Objects from RCS Data
Classification of objects based on Radar Cross Section (RCS) has several military and civilian applications. Feature extraction is an important step in the classification process. The resonances (features) of an object are unique and are independent of the look angles (aspect). A database created with the resonances of known radar targets help in the classification of targets. A method to extra...
متن کاملFeature-based terrain editing from complex sketches
We present a new method for first person sketch-based editing of terrain models. As in usual artistic pictures, the input sketch depicts complex silhouettes with cusps and T-junctions, which typically correspond to non-planar curves in 3D. After analysing depth constraints in the sketch based on perceptual cues, our method best matches the sketched silhouettes with silhouettes or ridges of the ...
متن کاملCOFE: A Scalable Method for Feature Extraction from Complex Objects
Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We consider the problem of feature extraction when the data-points are complex and the distance evaluation function is very expensive to evaluate. Examples of expensive distance evaluations include those for computing the Hausdorff ...
متن کاملGPR Objects Hyperbola Region Feature Extraction
The shape and feature extraction in Ground Penetrating Radar (GPR) data is the most addressed application in present underground object identification technique. The problem of automatically detecting the shape and feature in GPR data is in analysing and fitting the hyperbola features from GPR data objects. To address these, we propose a hyperbole fitting method to extract the shape and feature...
متن کاملLocal feature extraction and matching partial objects
A primary shortcoming of existing techniques for 3D model matching is the reliance on global information of model’s structure. Models are matched in their entirety, depending on overall topology and geometry information. A current open challenge is how to perform partial matching. Partial matching is important for finding similarities across part models with different global shape properties an...
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: Computer-Aided Design and Applications
سال: 2014
ISSN: 1686-4360
DOI: 10.1080/16864360.2014.981459