Change detection in pictorial and solid scenes: The role of depth of field
نویسندگان
چکیده
This paper investigates the influence of depth of field on change detection in both pictorial and solid scenes. In this work, a within-subjects experiment is conducted using a flicker paradigm, with which the hit rate and response time for change detection are obtained. The results show that depth of field has effects on change detection: the hit rate is smaller and response time is longer in the scene with small depth of field than in the scene with large depth of field or uniform blur. It is concluded that when depth of field is small and binocular disparity is not zero in a picture, the influence of depth of field on change detection is more significant than binocular disparity. This conclusion leads to the result that the change in the sharp area is detected easier and faster than in the area that is closer to the observer.
منابع مشابه
Online multiple people tracking-by-detection in crowded scenes
Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...
متن کاملAmbiguity in pictorial depth.
Pictorial space is the 3-D impression that one obtains when looking 'into' a 2-D picture. One is aware of 3-D 'opaque' objects. 'Pictorial reliefs' are the surfaces of such pictorial objects in 'pictorial space'. Photographs (or any pictures) do in no way fully specify physical scenes. Rather, any photograph is compatible with an infinite number of possible scenes that may be called 'metameric ...
متن کاملAmbiguity and the 'mental eye' in pictorial relief.
Photographs of scenes do not determine scenes in the sense that infinitely many different scenes could have given rise to any given photograph. In psychophysical experiments, observers have (at least partially) to resolve these ambiguities. The ambiguities also allow them to vary their response within the space of 'veridical' responses. Such variations may well be called 'the beholder's share' ...
متن کامل3D Scene and Object Classification Based on Information Complexity of Depth Data
In this paper the problem of 3D scene and object classification from depth data is addressed. In contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. In order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. Exploiting the algorithmic information theory, a new def...
متن کاملCrack Detection of Timoshenko Beams Using Vibration Behavior and Neural Network
Abstract: In this research, at first, the natural frequencies of a cracked beam are obtained analytically, then, location and depth of a crack in beam is identified by neural network method. The research is applied on a beam with an open crack for three different boundary conditions. For this purpose, at first, the natural frequencies of the cracked beam are obtained analytically, to get the ex...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 12 شماره
صفحات -
تاریخ انتشار 2017