نتایج جستجو برای: object recognition task
تعداد نتایج: 778441 فیلتر نتایج به سال:
A major task of visual attention is to focus processing on regions of interest to enable rapid and robust object search. Instead of integrating generic feature extraction into object specific interpretation we strictly pursue a top-down approach. Early features are tuned to selectively respond to task related visual features, i.e., locally discriminative information that is useful in object rec...
In the Object Recognition task, there exists a dichotomy between the categorization of objects and estimating object pose, where the former necessitates a view-invariant representation, while the latter requires a representation capable of capturing pose information over different categories of objects. With the rise of deep architectures, the prime focus has been on object category recognition...
The proposed method is to recognize objects based on application of Local Steering Kernels (LSK) as Descriptors to the image patches. In order to represent the local properties of the images, patch is to be extracted where the variations occur in an image. To find the interest point, Wavelet based Salient Point detector is used. Local Steering Kernel is then applied to the resultant pixels, in ...
Automated image interpretation and object recognition is an important task in numerous applications ranging from video surveillance to brain tumor identification. While demands for vision systems steadily grow, manual engineering is still among the core development techniques. In this paper we discuss adaptive learning vision systems. The challenges related to taskoriented image interpretation ...
We investigated implicit memory for unfamiliar objects with a task in which subjects decided whether structurally possible and impossible line drawings could exist in three-dimensional space. In Experiment 1, significant priming effects on object decision performance were observed after encoding of global, three-dimensional object structure but not local, two-dimensional object features. Explic...
The problem of object recognition from sensory data is traditionally a problem of finding structure from an array of intensity functions. To solve the problem, a depth map is recovered to match against a set of possible structures to suggest the most likely objects. However, few schemes of this nature have been able to perform beyond laboratory assumptions. We propose to study object recognitio...
Object detection, tracking and recognition in real time is a very essential task in computer vision. There are lots of research work have been done in this area. Yet it needs to be accuracy in recognizing object. The most objective of this review is to present an overview of the approaches used and also the challenges involved. In this paper we concentrate on different object detection methods,...
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