Find Interview Questions for KaHa

Right Answer:
3D reconstruction from multiple images involves the following steps:

1. **Image Acquisition**: Capture multiple images of the same scene from different angles.
2. **Feature Detection**: Identify key features or points in each image using algorithms like SIFT or ORB.
3. **Feature Matching**: Match these features across the different images to find correspondences.
4. **Camera Calibration**: Determine the camera parameters (intrinsic and extrinsic) for each image to understand the perspective.
5. **Triangulation**: Use the matched features and camera parameters to calculate the 3D coordinates of the points in space.
6. **Point Cloud Generation**: Create a point cloud representing the 3D structure of the scene.
7. **Surface Reconstruction**: Convert the point cloud into a mesh or surface model using techniques like Delaunay triangulation or Poisson reconstruction.
8. **Texture Mapping**: Apply textures from the original images onto the 3D model to enhance realism

Right Answer:
Disparity refers to the difference in the position of an object in the left and right images captured by our two eyes. It is related to depth because greater disparity indicates that an object is closer to the observer, while smaller disparity suggests that the object is farther away.

Right Answer:
LiDAR-based 3D mapping uses laser pulses to measure distances and create precise 3D models, providing high accuracy and detail, especially in complex environments. Vision-based 3D mapping relies on cameras and computer vision techniques to interpret images, which can be less accurate in low light or featureless areas but is often more cost-effective and easier to deploy.

Right Answer:
Stereo vision is a technique that uses two or more cameras to capture images from different viewpoints to perceive depth and create a 3D representation of a scene. Structure from Motion (SfM) is a process that reconstructs 3D structures from a series of 2D images taken from different angles, estimating camera positions and scene geometry simultaneously. The main difference is that stereo vision relies on simultaneous images from multiple cameras, while SfM uses sequential images from a single camera or multiple cameras over time.

Right Answer:
Bundle adjustment is an optimization technique used in 3D reconstruction to refine the 3D coordinates of points and the camera parameters simultaneously. It minimizes the re-projection error between observed image points and projected 3D points, ensuring a more accurate and consistent 3D model. It is typically used after initial structure-from-motion processes to improve the quality of the reconstruction.

Right Answer:
I encourage adaptability in my team by fostering open communication, promoting a growth mindset, providing training opportunities, and involving team members in decision-making. I also celebrate flexibility and resilience when facing challenges, ensuring everyone feels supported and empowered to adjust to new directions.

Right Answer:
I approach adapting to new company cultures by observing and understanding the values and norms of the organization. I actively listen to my colleagues, ask questions, and seek feedback to align my work style with the team. When working with diverse teams, I embrace different perspectives, promote open communication, and foster an inclusive environment to ensure everyone feels valued and heard.

Right Answer:
In my previous job, I worked with a colleague who preferred detailed written communication over verbal discussions. To adapt, I started sending more comprehensive emails and reports, ensuring I included all necessary information. This change helped us collaborate more effectively and improved our project outcomes.

Right Answer:
I maintain productivity with new or unfamiliar tasks by breaking them down into smaller steps, prioritizing tasks, seeking clarification when needed, using available resources, and staying organized. I also set specific goals and deadlines to keep myself focused and motivated.

Right Answer:
Adaptability in a professional setting means being open to change, adjusting to new situations, and being flexible in response to challenges or shifting priorities while maintaining productivity and effectiveness.

Right Answer:
Correlation is a statistical measure that indicates the extent to which two variables fluctuate together, while causation implies that one variable directly affects or causes a change in another variable.

Right Answer:
Data analysis is the process of inspecting, cleaning, and modeling data to discover useful information, draw conclusions, and support decision-making. It is important because it helps organizations make informed decisions, identify trends, improve efficiency, and solve problems based on data-driven insights.

Right Answer:
Data normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves structuring the data into tables and defining relationships between them. Normalization is important because it helps eliminate duplicate data, ensures data consistency, and makes it easier to maintain and update the database.

Right Answer:
The purpose of feature engineering in data analysis is to create, modify, or select variables (features) that improve the performance of machine learning models by making the data more relevant and informative for the analysis.

Right Answer:
Supervised learning uses labeled data to train models, meaning the output is known, while unsupervised learning uses unlabeled data, where the model tries to find patterns or groupings without predefined outcomes.