2012年3月17日雅思考试结束后,上海新东方学校的雅思教师薛倩根据回忆们对此次雅思阅读试题进行了整理。
第一篇是讲人脸的记忆和识别
题型:段落matching / T/F/NG
机经原文2009年1月15日考过
话题文章
Some facial recognition algorithms identify faces by extracting landmarks, or features, from an image of the subject's face. For example, an algorithm may analyze the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features. Other algorithms normalize a gallery of face images and then compress the face data, only saving the data in the image that is useful for face detection. A probe image is then compared with the face data. One of the earliest, successful systems is based on template matching techniques applied to a set of salient facial features, providing a sort of compressed face representation.
3-D
A newly emerging trend, claimed to achieve previously unseen accuracies, is three-dimensional face recognition. This technique uses 3-D sensors to capture information about the shape of a face. This information is then used to identify distinctive features on the surface of a face, such as the contour of the eye sockets, nose, and chin.
One advantage of 3-D facial recognition is that it is not affected by changes in lighting like other techniques. It can also identify a face from a range of viewing angles, including a profile view.
Skin texture analysis
Another emerging trend uses the visual details of the skin, as captured in standard digital or scanned images. This technique, called skin texture analysis, turns the unique lines, patterns, and spots apparent in a person’s skin into a mathematical space.
Tests have shown that with the addition of skin texture analysis, performance in recognizing faces can increase 20 to 25 percent.
第二篇是讲节能的房子(可以降温包括房子的材料以及与过去的房子的对比)
题型:段落matching 人名理论matching / T/F/NG
第三篇讲的PLA植物提取, 运用农作物做塑料以及HLC,貌似是聚乙烯的合成以及应用。可以运用于食品包装,还有环保等特性
题型: 特征matching 填图题 选择
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