These studies used holistic features which represent characteristics from a region of interest of a person as a whole [13].
We successfully combined globally extracted holistic features and local descriptors for identification using a decision fusion scheme.
Neurons in the visual system respond to more complex and holistic features at each new stage of processing.
First, the proposed method offers multiple feature spaces which are designed from GPS data, localization prediction model, image holistic features, and image local features.
Face recognition: Face recognition schemes typically locate the eye region and then extract holistic features from the windows centered on various regions of interest [18, 19].
The holistic features used in the above mentioned works are sensitive to visual variations such as clothing differences and view and scale changes since they rely on global information about a person's appearance [14].
More modern cognitive approaches to perception also emphasized the importance of global precedence, in which holistic features of the stimulus array are typically registered first, and more detailed local analysis often occurs later [11], [12], [3].
To tackle the tag locality problem, one may employ local image features instead of holistic image features to describe the visual contents of a certain tag.
Different from [57], where a simple image averaging is applied, we average the features due to the observation that image averaging is only helpful for holistic facial features and impairs the local facial features [58].
However, it is not clear whether decisions are driven by local visual features (e.g., surface discontinuities around the eyes or mouth), by more holistic visual features (e.g., wrinkle patterns over the whole face), or by higher-level inferences that are abstracted from such information (e.g., social attributions based on facial appearance).
