Pose Estimation MCQs With Answers

Computer MCQs 360May 11, 2024

0 7 1 minute read

Welcome to the Pose Estimation MCQs with Answers. In this post, we have shared Pose Estimation Online Test for different competitive exams. Find practice Pose Estimation Practice Questions with answers in Computer Tests exams here. Each question offers a chance to enhance your knowledge regarding Pose Estimation.

Pose Estimation Online Quiz

By presenting 3 options to choose from, Pose Estimation Quiz which cover a wide range of topics and levels of difficulty, making them adaptable to various learning objectives and preferences. You will have to read all the given answers of Pose Estimation Questions and Answers and click over the correct answer.

Test Name: Pose Estimation MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

Note: Answer of the questions will change randomly each time you start the test. Practice each quiz test at least 3 times if you want to secure High Marks. Once you are finished, click the View Results button. If any answer looks wrong to you in Quizzes. simply click on question and comment below that question. so that we can update the answer in the quiz section.

Pose Estimation

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1 / 40

What is the primary use of pose estimation in autonomous robotics?

Navigation and interaction (correct)

Data compression

Image enhancement

2 / 40

Which algorithm estimates human poses using body joint keypoints?

OpenPose (correct)

YOLO (You Only Look Once)

Mask R-CNN

3 / 40

Which technique estimates pose from a sequence of video frames?

Temporal Pose Estimation (correct)

Spatial Pose Estimation

Static Pose Estimation

4 / 40

What is the primary benefit of using ensemble methods in pose estimation models?

Lower memory usage

Improved robustness and generalization (correct)

Real-time performance

5 / 40

What is the primary challenge of pose estimation in crowded scenes?

Occlusion and overlapping poses (correct)

Lighting variation

Background clutter

6 / 40

What is the primary advantage of using synthetic data for training pose estimation models?

Real-world variability

Reduced computational cost

Data diversity and scalability (correct)

7 / 40

Which deep learning framework is commonly used for developing pose estimation models?

PyTorch

Keras

TensorFlow (correct)

8 / 40

What is the primary challenge in human pose estimation?

Articulation and occlusion (correct)

Lighting and shadows

Texture and color

9 / 40

What does SPPE stand for in the context of pose estimation networks?

Sequential Pose Prediction

Single-Stage Pose Estimation (correct)

Spatial Pose Processing

10 / 40

What is the primary advantage of using Kalman filters in pose estimation?

Depth sensing

Real-time computation

Smoothing noisy pose estimates (correct)

11 / 40

Which technique estimates 3D poses from 2D images without explicit depth information?

Triangulation

Monocular depth estimation (correct)

Perspective correction

12 / 40

What is pose estimation in computer vision?

Estimating the position and orientation of objects (correct)

Classifying objects

Detecting object boundaries

13 / 40

Which application area uses pose estimation for behavior analysis and surveillance?

Virtual reality (VR)

Security and surveillance (correct)

3D modeling

14 / 40

What does LCR-Net++ focus on in the context of pose estimation?

Low-level Contrast Ratio

Large-scale Crowd Pose Estimation (correct)

Localized Calibration

15 / 40

Which neural network architecture is commonly used for real-time pose estimation on mobile devices?

MobileNet (correct)

ResNet

Inception

16 / 40

What is the primary advantage of using transfer learning in pose estimation?

Higher computational cost

Real-time processing

Improved performance with less data (correct)

17 / 40

What does APE stand for in the context of pose estimation metrics?

Average Pose Error (correct)

Adaptive Pose Estimation

Angle Pose Evaluation

18 / 40

What does RGB-D stand for in the context of pose estimation?

Reflective Gradient Depth

Red-Green-Blue Depth (correct)

Remote Global Depth

19 / 40

What is the advantage of using multi-view pose estimation over single-view?

Lower memory usage

Improved accuracy (correct)

Faster computation

20 / 40

Which approach combines pose estimation with semantic segmentation for understanding human actions?

Face Recognition

Pose-based Action Recognition (correct)

Object Detection

21 / 40

Which application area benefits from pose estimation technology?

Speech recognition

Augmented reality (AR) (correct)

Optical character recognition

22 / 40

Which technique estimates pose by analyzing skeletal structures in images?

Object tracking

Skeletal Pose Estimation (correct)

Facial recognition

23 / 40

Which technique combines pose estimation with facial recognition for identity verification?

Emotion Detection

Face Pose Recognition (correct)

Gesture Recognition

24 / 40

Which mathematical technique is often used for 3D pose estimation from 2D images?

Perspective projection (correct)

Principal component analysis

Affine transformation

25 / 40

What does HPE stand for in the context of pose estimation?

Hierarchical Pose Estimation

High-Performance Evaluation

Human Pose Estimation (correct)

26 / 40

Which dataset is commonly used for benchmarking pose estimation algorithms?

ImageNet

MPII Human Pose (correct)

COCO (Common Objects in Context)

27 / 40

What does MTCNN stand for in the context of pose estimation from images?

Multi-view Temporal Convolutional Networks

Multi-task Cascaded Convolutional Networks (correct)

Multi-layer Transformer Convolutional Networks

28 / 40

Which technique estimates poses from RGB images without depth information?

Multi-view pose estimation

3D pose estimation

2D pose estimation (correct)

29 / 40

Which deep learning architecture is often used for pose estimation tasks?

Convolutional Neural Networks (CNNs) (correct)

Generative Adversarial Networks (GANs)

Recurrent Neural Networks (RNNs)

30 / 40

Which technique is commonly used for pose estimation using single cameras?

Histogram of Oriented Gradients (HOG)

Optical flow

Perspective-n-Point (PnP) (correct)

31 / 40

What does COCO keypoints refer to in the context of pose estimation datasets?

COlor COmputation

COmprehensive COntext

Common Objects in Context keypoints (correct)

32 / 40

Which technique estimates human poses using deep neural networks and heatmaps?

VAEs (Variational Autoencoders)

PoseNet (correct)

GANs

33 / 40

Which technique estimates 3D poses using multi-camera setups?

Multi-view stereo (correct)

Depth sensing

Time-of-Flight (ToF)

34 / 40

What does HOG feature extraction focus on in the context of pose estimation preprocessing?

Texture analysis

Edge and gradient orientation (correct)

Color intensity

35 / 40

Which evaluation metric measures the accuracy of pose estimation by comparing joint positions?

IoU (Intersection over Union)

PCK (Percentage of Correct Keypoints) (correct)

F1-score

36 / 40

What is the primary role of pose estimation in sports analytics?

Player recruitment

Ticket sales optimization

Performance analysis and training (correct)

37 / 40

What does MPJPE stand for in the context of pose estimation evaluation metrics?

Mean Per Joint Position Error (correct)

Median Per Joint Position Error

Maximum Per Joint Position Error

38 / 40

Which approach combines pose estimation with gesture recognition?

Pose Gesture Recognition (correct)

Facial expression analysis

Speech synthesis

39 / 40

Which sensor is commonly used for depth-based pose estimation?

Kinect (correct)

LiDAR

Radar

40 / 40

What does LCR-Net++ focus on in the context of pose estimation?

Large-scale Crowd Pose Estimation (correct)

Localized Calibration

Low-contrast Ratio

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Computer MCQs 360May 11, 2024

0 7 1 minute read