객체 인식
노트
- Deep learning techniques have become a popular method for doing object recognition.[1]
- Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence.[2]
- Object recognition allows robots and AI programs to pick out and identify objects from inputs like video and still camera images.[3]
- Gathered visual data from cloud robotics can allow multiple robots to learn tasks associated with object recognition faster.[3]
- , H. Is human object recognition better described by geon structural descriptions or by multiple views?[4]
- 21 Tarr, M. & Bülthoff, H. Image-based object recognition in man, monkey and machine.[4]
- 41 Mel, B. SEEMORE: combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognition.[4]
- Although it may sound rather theoretical and abstract, object recognition has a lot of interesting use cases in business.[5]
- For example, through object recognition, we developed an automated checkout system for a major player in the foodservice industry.[5]
- A popular approach to tackle this problem is to utilize a deep neural network for object recognition.[6]
- Object recognition is the task of recognizing the object and labeling the object in an image.[7]
- In this paper, various feature extraction techniques and classification algorithms are discussed which are required for object recognition.[7]
- A review of codebook models in patch-based visual object recognition.[8]
- “Object recognition with features inspired by visual cortex,” in CVPR (2) (San Diego, CA: IEEE Computer Society), 994–1000.[8]
- In recent years, deep learning methods have emerged as powerful machine learning methods for object recognition and detection.[9]
- Object recognition using local invariant features for robotic applications: A survey.[10]
- Modified Dendrite Morphological Neural Network Applied to 3D Object Recognition.[10]
- You can use IDOL Admin to perform training for object recognition.[11]
- Object recognition is the technique of identifying the object present in images and videos.[12]
- Object Recognition and Image Processing techniques can help detect disease more accurately.[12]
- There is currently no unique method to perform object recognition.[13]
- I have a slight confusion differentiating between object recognition and object detection.[14]
- Some people say object detection is a sub-topic of object recognition?[14]
- Object recognition is a pervasive process that fascinates and puzzles in equal measure.[15]
소스
- ↑ Object Recognition
- ↑ Outline of object recognition
- ↑ 3.0 3.1 What is object recognition?
- ↑ 4.0 4.1 4.2 Models of object recognition
- ↑ 5.0 5.1 Object recognition definition and use cases
- ↑ Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes
- ↑ 7.0 7.1 2D Object Recognition Techniques: State-of-the-Art Work
- ↑ 8.0 8.1 Object Detection: Current and Future Directions
- ↑ Object recognition and detection with deep learning for autonomous driving applications
- ↑ 10.0 10.1 Visual Object Recognition
- ↑ Object Recognition
- ↑ 12.0 12.1 Object Detection vs Object Recognition vs Image Segmentation
- ↑ Object Recognition Kitchen — object
- ↑ 14.0 14.1 Object detection versus object recognition
- ↑ Object Recognition: Complexity of Recognition Strategies