The role of eyebrows in face recognition

A fundamental challenge in face recognition lies in determining which facial characteristics are important in the identification of faces. Several studies have indicated the significance of certain facial features in this regard, particularly internal ones such as the eyes and mouth. Surprisingly, however, one rather prominent facial feature has received little attention in this domain: the eyebrows. Past work has examined the role of eyebrows in emotional expression and nonverbal communication, as well as in facial aesthetics and sexual dimorphism. However, it has not been made clear whether the eyebrows play an important role in the identification of faces. Here, we report experimental results which suggest that for face recognition the eyebrows may be at least as influential as the eyes. Specifically, we find that the absence of eyebrows in familiar faces leads to a very large and significant disruption in recognition performance. In fact, a significantly greater decrement in face recognition is observed in the absence of eyebrows than in the absence of eyes. These results may have important implications for our understanding of the mechanisms of face recognition in humans as well as for the development of artificial face-recognition systems.     

Controlling low-level image properties: The SHINE toolbox

Visual perception can be influenced by top-down processes related to the observer’s goals and expectations, as well as by bottom-up processes related to low-level stimulus attributes, such as luminance, contrast, and spatial frequency. When using different physical stimuli across psychological conditions, one faces the problem of disentangling the contributions of low- and high-level factors. Here, we make available the SHINE (spectrum, histogram, and intensity normalization and equalization) toolbox for MATLAB, which we have found useful for controlling a number of image properties separately or simultaneously. The toolbox features functions for specifying the (rotational average of the) Fourier amplitude spectra, for normalizing and scaling mean luminance and contrast, and for exact histogram specification optimized for perceptual visual quality. SHINE can thus be employed for parametrically modifying a number of image properties or for equating them across stimuli to minimize potential low-level confounds in studies on higher level processes.     

Object detection and basic-level categorization: Sometimes you know it is there before you know what it is

A tight temporal coupling between object detection (is an object there?) and object categorization (what kind of object is it?) has recently been reported (Grill-Spector &; Kanwisher, 2005), suggesting that image segmentation into different objects and categorization of those objects at the basic level may be the very same mechanism. In the present work, we decoupled the time course of detection and categorization through two task manipulations. First, inverted objects were categorized significantly less accurately than upright objects across a range of image presentation durations, but no significant effect on object detection was observed. Second, systematically degrading stimuli affected categorization significantly more than object detection. The time course of object detection and object categorization can be selectively manipulated. They are not intrinsically linked. As soon as you know an object is there, you do not necessarily know what it is.     

A concise review of the correspondence between the traditional functional analysis and alternative assessment formats

The functional assessment of challenging behavior (e.g., self-injurious behavior) has evolved over many years of research and practice. This concise review summarizes the positive predictive value, negative predictive value, accuracy, sensitivity, and specificity of common procedural adaptations reported to improve functional assessment safety and efficiency. We conclude with suggestions for clinicians and researchers.     

Evaluating the efficacy and generality of a skill-based approach for promoting universal behavioral readiness

Behavioral readiness can take the form of communication and self-control skills during challenging situations that are correlated with the development of problem behavior. A skill-based approach can teach behavioral readiness using procedures that involve synthesized reinforcement, probabilistic reinforcement, and contingency-based delays; however, this approach is commonly used to address severe behavior under specific situations. There is limited research evaluating a skill-based approach to teaching behavioral readiness and addressing emerging problem behavior. Also, it is unclear whether teaching effects under specific situations transfer across other, functionally distinct, situations. We evaluated the generality of a skill-based approach by teaching skills systematically across primary challenging situations involving the interruption of play, presentation of instructions, and removal of reinforcers. Teaching increased communication and self-control skills, and most skills transferred to secondary challenging situations (treatment extension probes) and caregiver-implemented sessions. We discuss challenging situations that required teaching, the generality of teaching, and procedural considerations.     

Utility of Philosophy

Journal of Indian Council of Philosophical Research - Philosophy is an incredible intellectual enterprise that promotes comprehensive exposure to creative and critical thinking. The paper is...     

Object recognition and Random Image Structure Evolution

We present a technique called Random Image Structure Evolution (RISE) for use in experimental investigations of high-level visual perception. Potential applications of RISE include the quantitative measurement of perceptual hysteresis and priming, the study of the neural substrates of object perception, and the assessment and detection of subtle forms of agnosia. In simple terms, RISE involves the measurement of perceptual and/or neural responses as visual stimuli are systematically transformed—in particular, as recognizable objects evolve from, then dissolve into, randomness. Points along the sequences corresponding to the onset and offset of subjects’ percepts serve as markers for quantitatively and objectively characterizing several perceptual phenomena. Notably, these image sequences are created in a manner that strictly controls a number of important low-level image properties, such as luminance and frequency spectra, thus reducing confounds in the analysis of high-level visual processes. Here we describe the RISE paradigm, report the results of a few basic RISE experiments, and discuss a number of experimental and clinical applications of this approach.