Michele – författare

Amy Rebecca Williams was numb, weak, and alone. She was born out of adversity, a diamond in the rough from the beginning. No one in the world could ever understand the physical, emotional, and spiritual anguish she felt. The place that should have been her refuge became the epicenter of her persecution. The odds were against her, and she was doomed to fail; that is until He showed up. He picked her up and dealt with her in a way no one could. Through the blood, sweat, and tears, He showed up and made a way. This is a story that pushes beyond the limits of man; it is a story that exemplifies the true love of God and how His love never fails.

Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly accurate readings. Face Recognition in Adverse Conditions examines how the field of facial recognition takes these adverse conditions into account when designing more effective applications by discussing facial recognition under real world PIE variations, current applications, and the future of the field of facial recognition research. The work is intended for academics, engineers, and researchers specializing in the field of facial recognition.

Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly accurate readings. Face Recognition in Adverse Conditions examines how the field of facial recognition takes these adverse conditions into account when designing more effective applications by discussing facial recognition under real world PIE variations, current applications, and the future of the field of facial recognition research. The work is intended for academics, engineers, and researchers specializing in the field of facial recognition.

This is a true story of one young womans bravery as she faced making one of the most difficult decisions any woman will ever have to make.