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Titlebook: VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search; Simone Frintrop Book 2006 Springer-Verlag Berlin Heidelber

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發(fā)表于 2025-3-25 03:52:25 | 只看該作者
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發(fā)表于 2025-3-25 08:13:44 | 只看該作者
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發(fā)表于 2025-3-25 15:07:41 | 只看該作者
1 Introduction,e costumes of the people around you, your gaze wanders from one exciting spot to the next: here a clown with a fancy dress, there a small boy masqueraded as Harry Potter. But not only visual cues capture your attention: over there a band starts to play the new hit of the year and the smell of fresh
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發(fā)表于 2025-3-25 19:07:26 | 只看該作者
2 Background on Visual Attention,ttention is common in everyday language and familiar to everyone. Nevertheless - or even therefore - it is necessary to clarify and define the term properly. Since visual attention is a concept of human perception, it is important to understand the underlying visual processing in the brain and to kn
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發(fā)表于 2025-3-26 02:27:08 | 只看該作者
4 The Visual Attention System VOCUS: Bottom-Up Part, limitations. In this and the following chapters, we present the new visual attention system VOCUS (Visual Object detection with a CompUtational attention System) which extends and outperforms the current approaches in several aspects, yielding an innovative, efficient, and robust system for detecti
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發(fā)表于 2025-3-26 08:04:30 | 只看該作者
5 The Visual Attention System VOCUS: Top-Down Extension,situation. In the previous chapter, we focused on simulating bottom-up mechanisms of visual attention. These define regions as interesting which have a high contrast to their surroundings and are unique in the setting. As mentioned in chapter 2, top-down influences also play an important role in hum
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8 Conclusion,s. The approach regards object recognition as a two step process: first, the fast attention system detects regions of interest in the whole image and second, a classifier recognizes the content in the specified region. This separation enables an efficient processing since complex object recognition
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