Mouse system using technology recognizing external nostril images
نویسندگان
چکیده
منابع مشابه
Recognizing Objects in Cluttered Images using Subgraph Isomorphism
This paper reports on a new approach to object recognition based on exploiting both geometric and spectral information in an image. An algorithm is described for finding objects in an image based on inexact graph matching against a template that incorporates information about the geometry and color of segmented regions of the image. The image is encoded as an attributed graph in which vertices ...
متن کاملRecognizing 3-D Objects Using 2-D Images
To visually recognize objects, we adopt the strategy of forming groups of image features with a bottom-up process, and then using these groups to index into a data base to nd all of the matching groups of model features. This approach reduces the computation needed for recognition, since we only consider groups of model features that can account for these relatively large chunks of the image. T...
متن کاملRecognizing vehicles in infrared images using IMAP parallel vision board
|This paper describes a method for vehicle recognition, in particular, for recognizing a vehicle's make and model. Our system is designed to take into account the fact that vehicles of the same make and model number come in di erent colors; to deal with this problem, our system employs infra-red images, thereby eliminating color di erences. Another reason for the use of infra-red images is that...
متن کاملRecognizing Material Properties from Images
Humans implicitly rely on properties of the materials that make up ordinary objects to guide our interactions. Grasping smooth materials, for example, requires more care than rough ones, and softness is an ideal property for fabric used in bedding. Even when these properties are not purely visual (softness is a physical property of the material), we may still infer the softness of a fabric by l...
متن کاملUsing HFST - Helsinki Finite-State Technology for Recognizing Semantic Frames
To recognize semantic frames in languages with a rich morphology, we need computational morphology. In this paper, we look at one particular framework, HFST–Helsinki Finite-State Technology, and how to use it for recognizing semantic frames in context. HFST enables tokenization, morphological analysis, tagging and frame annotation in one single framework.
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: Journal of Life Support Engineering
سال: 2007
ISSN: 1341-9455,1884-5827
DOI: 10.5136/lifesupport.19.supplement_37