What is the fee of registering for the TOEFL iBT Paper Edition?

Applicants who choose to take the TOEFL iBT Paper Edition must pay an amount of INR 16,900 for registering, which is the same for TOEFL iBT.

How many times is the TOEFL iBT Home Edition conducted in a month?

The TOEFL iBT Paper Edition is offered once or twice every month.

As the TOEFL iBT exam is conducted in two sessions, do I have to book two dates or one?

You need to schedule two appointments when you register: one at your neighbourhood testing facility and the other at your house.

In some places, why is the duration of the first session of TOEFL iBT Paper Edition written as three and half hours? What is the actual duration?

The test duration at a centre is three hours. An additional thirty minutes is allocated for test administration tasks, such as admitting examinees, allowing them to input identifying information, and managing test materials.

Are there any special requirements for the Speaking section of the TOEFL iBT Paper Edition?

As the Speaking section is conducted from home, please ensure that you have the required setup for both the equipment and environment before registering. You will get the details from the official website.

Facial Recognition- TOEFL Listening Practice Test with Answers

Home Practice Tests TOEFL Listening Practice Tests

Facial Recognition- TOEFL iBT® Listening Practice Test with Answers

Sanskriti Gupta

7 min read

Updated On May 31, 2024

"Unlock your full potential for the TOEFL Listening Section with the Practice Test on the topic ‘Facial Recognition’ and ace the exam with confidence!"

Key Highlights

Listening Instructions:
Questions
Transcript of the Audio of ‘Facial Recognition’
Answers and Explanations of ‘Facial Recognition’

If you're getting ready for the TOEFL test, you understand the significance of performing well in each task to reach your target score. Among the TOEFL's four sections, the Listening Section can pose particular difficulties for first time test-takers.

Whether you're starting your preparation or refining your abilities, this blog is the ideal tool for sharpening your listening skills and excelling in this vital task. To boost your confidence in tackling this section, we've crafted a TOEFL Listening practice test with an Answer key centered on the theme of "Facial Recognition."

Listening Instructions:

You can listen to each conversation and lecture only once.
You have approximately 8 minutes to listen to the conversation/lecture and respond to the questions.
Each question generally carries one point unless otherwise specified in the instructions, which will explicitly state the assigned points for specific questions.
After listening to a lecture, respond to questions related to the topic based on explicit or implicit statements made by the speakers.
Feel free to make notes as you listen. You can refer to your notes to aid in answering the questions.
We recommend practicing note-taking with a pen and paper, similar to what you'll do during the TOEFL.

Now listen to the Audio.

Questions

Directions: Answer the questions.

Where is the setting of the TV show 'Las Vegas'?
1. Within a shopping complex
2. Inside a law enforcement agency
3. Within a gambling establishment
4. Inside a forensic laboratory

. What is a faceprint?
1. a code that recognizes a face
2. unique contours on the face
3. a 2D representation of the face
4. the number of nodal points on the face

Identify TWO issues with 2D facial recognition from the options provided below.
1. It is ineffective when the picture is poorly lit.
2. The subject in the image must be directly facing the camera.
3. Facial contours alter with age.
4. Nodal points are not quantifiable.

What issue arises with 3D technology?
1. It is restricted to situations where the person is directly in front of the camera
2. The image may undergo alterations with time
3. Matching a 3D image to a 2D image is challenging
4. It lacks the ability to differentiate between identical twins

Listen again to part of the Audio then answer the Question.

What does the professor mean when he says this:

Professor: Every face has peaks and valleys, and these can be translated into what is termed as nodal points.
1. Every face has unique features that can be converted into numerical codes for facial recognition.
2. Facial recognition technology relies on identifying peaks and valleys on a face for accurate recognition.
3. Nodal points refer to the points on a face where facial expressions are most pronounced.
4. Facial recognition systems use nodal points to create a 3D model of a person's face.

Transcript of the Audio of ‘Facial Recognition’

Narrator: Listen to part of a lecture in a classroom.

Male Professor: Good day, everyone. Today, we'll delve into facial recognition technology and the various technologies associated with it. Before we begin, could someone share an example of where facial recognition is utilized? Yes, you in the back?

Female Student: Is it in the TV series Las Vegas?

Male Professor: Correct. In Las Vegas, the security team extracts images from their surveillance system and matches them against a database to identify individuals, allowing them to manage card counters and banned gamblers at poker tables. While it may seem straightforward on TV, facial recognition presents challenges in real-world applications. Let's start by discussing conventional facial recognition methods. Every face has peaks and valleys, and these can be translated into what is termed as nodal points. These measurements form a numerical code known as a faceprint, facilitating comparisons between two-dimensional images like photographs. However, precise control is necessary for effective results; subjects must face the camera directly without changes in expression or lighting, as such variations can impact the system's accuracy. Consequently, alternative approaches were devised.

Male Professor: The latest approach to face recognition involves utilizing a 3D model, purportedly with enhanced accuracy. 3D imaging identifies distinct facial features like the contours of the eyes, nose, and chin – features that remain consistent over time. These features are measured with precision at the sub-millimeter level. Interestingly, a 3D image can be captured not just through a live scan but also from a 2D photograph. Another advantage of the 3D system is its ability to identify individuals from various angles; there's no requirement for the person to face the camera directly, unlike with 2D technology. Once more, the system assigns a unique code to each person – a series of numbers representing their facial characteristics.

Male Professor: Matching a 3D image with another 3D image is straightforward if you already have a 3D image stored in your database. However, it's more challenging to match 3D images with 2D ones. Nevertheless, analysts can extract specific measurements from the 3D image, such as eye size, and use these to convert the 3D image into a 2D format, facilitating easier comparisons with the 2D images in the database.

Male Professor: However, it's not solely the measurements that are utilized for facial recognition. A novel advancement known as Skin Biometrics also plays a role. This technology leverages the distinctiveness of skin texture to generate results. The procedure involves capturing an image of a skin patch, after which the system identifies pores, lines, moles, blemishes, and other textural features. Unlike 3D technology, this method can differentiate between identical twins. Moreover, it boasts advantages over 3D imagery by being insensitive to changes in facial expressions like blinking or smiling and can adjust for alterations in facial features such as beard growth or wearing glasses. Nevertheless, it isn't flawless as it can be affected by lighting conditions, poor camera resolution, and glare from the sun.

Male Professor: Now that we've discussed the primary types of facial recognition, let's delve into its applications. Any questions so far?

Before you proceed to tally your answers, find out the Best Universities that accept the TOEFL in Canada in 2024.

Answers and Explanations of ‘Facial Recognition’

1. Answer: C

Explanation: The correct answer is C. Within a gambling establishment. In the TV show "Las Vegas," facial recognition technology is used within a gambling establishment. This is evident from the lecture where the male professor mentions that the security team in Las Vegas utilizes facial recognition to manage card counters and banned gamblers at poker tables, indicating its application within a casino or similar gambling venue.

2. Answer: C

Explanation: The correct answer is Choice C, “a 2D representation of the face”. The passage introduces "faceprint" as a technical term and then explains its creation process. Facial recognition technology analyzes facial features to identify individuals. In conventional methods, these features are translated into a numerical code based on measurements of a person's face from a two-dimensional image, like a photograph. This code, containing the key characteristics captured from the image, is essentially the "faceprint" used for comparisons. While option A (a code that recognizes a face) describes the outcome or purpose of a faceprint, it's not the specific term used in the passage. Option D (the quantity of nodal points on the face) narrows down to a single aspect of the faceprint creation. Nodal points are the individual measurements used to build the code, but "faceprint" refers to the complete numerical representation derived from a 2D image.

3. Answer: A, B

Explanation: The correct choices are Option A and Option B.

Option A: It is ineffective when the picture is poorly lit: The passage mentions the need for "precise control" for 2D recognition to work effectively. Lighting variations can create shadows that alter the appearance of facial features, impacting the accuracy of nodal point measurements.

Option B: The subject in the image must be directly facing the camera: The passage states that 2D facial recognition relies on nodal points, which are measurements based on the peaks and valleys of a face in an image. These measurements can be significantly affected by variations in the angle of the face. If someone is not facing the camera directly, the nodal points will be different, leading to inaccurate recognition.

4. Answer: C

Explanation: The issue that arises with 3D technology according to the passage is Option C, “Matching a 3D image to a 2D image is challenging”. The passage mentions that 3D facial recognition excels at matching 3D images stored in the database. However, it acknowledges the difficulty when the system encounters a 2D image (like a photograph) that needs to be compared to the 3D model. While analysts can extract some measurements from the 3D image to convert it into a 2D format for comparison, it's presented as a hurdle compared to the straightforward matching of 3D images.

Options A, B, and D are not mentioned as limitations of 3D technology in the passage.

5. Answer: A

Explanation: The correct Option is A, “Every face has unique features that can be converted into numerical codes for facial recognition”. The passage explains that "nodal points" are derived from facial features described as "peaks and valleys." These points are then measured and converted into a numerical code, referred to as a "faceprint." This code serves as a unique identifier for facial recognition purposes. While option B emphasizes the role of nodal points, it doesn't mention the conversion to a numerical code. Option C focuses on facial expressions, which aren't directly linked to the definition of nodal points. Option D talks about 3D models, whereas the passage describes nodal points in the context of 2D facial recognition. Therefore, considering how the passage defines and uses "nodal points," option A best captures the professor's meaning.

Are you targeting a top score on the TOEFL test this year? If so, explore our additional Practice tests designed to assist you in reaching your target score!