Charles A. Collin

Configural face encoding and spatial frequency information.

Configural relations and a critical band of spatial frequencies (SFs) in the middle range are particularly important for face recognition. We report the results of four experiments in which the relationship between these two types of information was examined. In Experiments 1, 2A, and 2B, theface inversion effect (FIE) was used to probe configural face encoding. Recognition of upright and inverted faces and nonface objects was measured in four conditions: a no-filter condition and three SF conditions (low, medium, and high frequency). We found significant FIEs of comparable magnitudes for all frequency conditions. In Experiment 3, discrimination of faces on the basis of either configural or featural modifications was measured under the same four conditions. Although the ability to discriminate configural modifications was superior in the medium-frequency condition, so was the ability to discriminate featural modifications. We conclude that the band of SF that is critical for face recognition does not contribute preferentially to configural encoding.

Subordinate-level categorization relies on high spatial frequencies to a greater degree than basic-level categorization

In two experiments, category verification of images of common objects at subordinate, basic, and superordinate levels was performed after low-pass spatial filtering, high-pass spatial filtering, 50% phase randomization, or no image manipulation. Both experiments demonstrated the same pattern of results: Low-pass filtering selectively impaired subordinate-level category verification, while having little to no effect on basic-level category verification. Subordinate categorization consequently relies to a greater degree on high spatial frequencies of images. This vulnerability of subordinate-level processing was specific to a lack of high spatial frequency information, as opposed to other visual information, since neither high-pass filtering nor the addition of phase noise produced a comparable reduction in performance. These results are consistent with the notion that object recognition at basic levels relies on the general shapes of objects, whereas recognition at subordinate levels relies on finer visual details.

Lighting direction affects recognition of untextured faces in photographic positive and negative

Face recognition in photographic positive and negative was examined in a same/different matching task in five lighting direction conditions using untextured 3-D laser-scanned faces. The lighting directions were +60, +30, 0, -30 and -60 degrees, where negative values represent bottom lighting and positive values represent top lighting. Recognition performance was better for faces in positive than in negative when lighting directions were at +60 degrees. In one experiment, the same effect was also found at +30 degrees. However, faces in negative were recognized better than positive when the direction was -60 degrees. There was no difference in recognition performance when the lighting direction was 0 and -30 degrees. These results confirm that the effect of lighting direction can be a determinant of the photographic negative effect. Positive faces, which normally appear to be top-lit, may be difficult to recognize in negative partly because of the accompanying change in apparent lighting direction to bottom-lit.

The effects of spatial frequency overlap on face recognition.

The effects of spatial frequency overlap between pairs of low-pass versus high-pass images on face recognition and matching were examined in 6 experiments. Overlap was defined as the range of spatial frequencies shared by a pair of filtered images. This factor was manipulated by processing image pairs with high-pass/low-pass filter pairs whose 50% cutoff points varied in their separation from one another. The effects of the center frequency of filter pairs were also investigated. In general, performance improved with greater overlap and higher center frequency. In control conditions, the image pairs were processed with identical filters and thus had complete overlap. Even severely filtered low-pass or high-pass images in these conditions produced superior performance. These results suggest that face recognition is more strongly affected by spatial frequency overlap than by the frequency content of the images.

Face Recognition Is Affected by Similarity in Spatial Frequency Range to a Greater Degree Than Within-Category Object Recognition.

Previous studies have suggested that face identification is more sensitive to variations in spatial frequency content than object recognition, but none have compared how sensitive the 2 processes are to variations in spatial frequency overlap (SFO). The authors tested face and object matching accuracy under varying SFO conditions. Their results showed that object recognition was more robust to SFO variations than face recognition and that the vulnerability of faces was not due to reliance on configural processing. They suggest that variations in sensitivity to SFO help explain the vulnerability of face recognition to changes in image format and the lack of a middle-frequency advantage in object recognition.

Does Face Recognition Rely on Encoding of 3-D Surface? Examining the Role of Shape-from-Shading and Shape-from-Stereo

It is now well known that processing of shading information in face recognition is susceptible to bottom lighting and contrast reversal, an effect that may be due to a disruption of 3-D shape processing. The question then is whether the disruption can be rectified by other sources of 3-D information, such as shape-from-stereo. We examined this issue by comparing identification performance either with or without stereo information using top-lit and bottom-lit face stimuli in both photographic positive and negative conditions. The results show that none of the shading effects was reduced by the presence of stereo information. This finding supports the notion that shape-from-shading overrides shape-from-stereo in face perception. Although shape-from-stereo did produce some signs of facilitation for face identification, this effect was negligible. Together, our results support the view that 3-D shape processing plays only a minor role in face recognition. Our data are best accounted for by a weighted function of 2-D processing of shading pattern and 3-D processing of shapes, with a much greater weight assigned to 2-D pattern processing.

The influence of strongly focused visual attention on the detection of change in an auditory pattern

The mismatch negativity, an ERP that reflects the detection of change in the auditory environment, is considered to be a relatively automatic process. Its automaticity has by in large been studied using the oddball paradigm, in which a physical feature of a frequently presented standard stimulus is changed. In the present study, the automaticity of the MMN is tested using a MMN elicited by a violation of a more abstract auditory pattern. Fourteen subjects were presented with an alternating pattern of two tones (ABABAB) that was occasionally broken by deviant repetitions (e.g., ABABABBBAB). The alternating tones were separated by 1 or 6 semitones in different conditions. The subjects were engaged in a continuous multiple object tracking (MOT) task and thus ignored the auditory stimuli. Difficulty of the MOT task was manipulated by increasing the number of objects to be tracked. Subjects were also asked to read a text and ignore the auditory stimuli in another condition. A much larger MMN was elicited by pattern violations in the 6 than in the 1 semitone condition. The difficult visual task should have presumably required greater attentional focus than the easy task, and performance did deteriorate during the difficult MOT. The MMN, however, was not affected by the demands of the MOT task. This finding suggests that the MMN elicited by the violation of a pattern is not affected by the presumed attentional demands of a difficult continuous task such as multiple object tracking.

Glare disability and contrast sensitivity before and after cataract surgery

Purpose: To determine whether brightness‐induced glare decreases spatial contrast sensitivity and visual acuity in preoperative cataract patients with functional visual complaints and to compare preoperative with postoperative results. Setting: Sir Mortimer B. Davis Jewish General Hospital, Montreal, Quebec, Canada. Methods: Twenty patients with a visual acuity of 20/70 or better at the time of chart selection and no other ocular pathology who were referred for cataract surgery were evaluated with the Optec 3000 vision tester to assess contrast sensitivity and visual acuity in the presence and absence of glare. Testing was done preoperatively and 1 and 3 months postoperatively. Results: An analysis of variance indicated that there were statistically significant double interactions between the preoperative/postoperative and glare/no‐glare variables and between the preoperative/postoperative and spatial frequency variables. Postoperatively, visual acuity and contrast sensitivity improved to within normal limits. There were no statistically significant differences in visual acuity and spatial contrast sensitivity between 1 and 3 months postoperatively. Conclusion: Spatial contrast sensitivity and glare testing provided objective assessment of patients who had good visual acuity yet also had functional complaints.

Using Matlab to generate families of similar Attneave shapes

We present a program for Matlab that quickly generates Attneave-style random polygons and families of similar polygons. The function allows a great deal of user control over various aspects of the shape generation process. It also has the ability to detect and eliminate shapes that do not match a variety of user-entered parameters regarding the lengths of the shapes’ sides, vertex angles, and topological form. The function eliminates the time-consuming task of generating such shapes by hand and should allow their broader use in behavioral research. The Matlab script function can be downloaded at www.dal.ca/ ~mcmullen/downloads.html.

Spatial-Frequency Thresholds for Object Categorisation at Basic and Subordinate Levels

In an attempt to understand how low-level visual information contributes to object categorisation, previous studies have examined the effects of spatially filtering images on object recognition at different levels of abstraction. Here, the quantitative thresholds for object categorisation at the basic and subordinate levels are determined by using a combination of the method of adjustment and a match-to-sample method. Participants were asked to adjust the cut-off of either a low-pass or high-pass filter applied to a target image until they reached the threshold at which they could match the target image to one of six simultaneously presented category names. This allowed more quantitative analysis of the spatial frequencies necessary for recognition than previous studies. Results indicate that a more central range of low spatial frequencies is necessary for subordinate categorisation than basic, though the difference is small, at about 0.25 octaves. Conversely, there was no effect of categorisation level on high-pass thresholds.