Object Detection Under Challenging Lighting Conditions Using High Dynamic Range Imagery

Object Recognition under Various Lighting Conditions

This paper describes object recognition under various lighting conditions for a robot which finds a user-specified object and brings it to the user. The system first constructs object models under a known lighting condition. Because the lighting condition in model construction is different from that in object recognition, the system needs to transform the model’s color for the current lighting ...

Skin Colour Detection Under Changing Lighting Conditions

Novel Adaptive Eye Detection and Tracking for Challenging Lighting Conditions

The paper develops a novel technique that significantly improves the performance of Haar-like feature-based object detectors in terms of speed, detection rate under di cult lighting conditions, and reduced number of false-positives. The method is implemented and validated for driver monitoring under very dark, very bright, and normal conditions. The framework includes a fast adaptive detector d...

Human Face Detection under Complex Lighting Conditions

This paper presents a novel method for detecting human faces in an image with complex backgrounds. The approach is based on visual information of the face from the template image and is commenced with the estimation of the face area in the given image. As the genetic algorithm is a computationally expensive process, the searching space for possible face regions is limited to possible facial fea...

Early recurrent feedback facilitates visual object recognition under challenging conditions

Standard models of the visual object recognition pathway hold that a largely feedforward process from the retina through inferotemporal cortex leads to object identification. A subsequent feedback process originating in frontoparietal areas through reciprocal connections to striate cortex provides attentional support to salient or behaviorally-relevant features. Here, we review mounting evidenc...