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Object Recognition Question & Answers

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This article lists 100+ Object Recognition MCQs for engineering students. All the Object Recognition Questions & Answers given below includes solution and link wherever possible to the relevant topic.

Rational function tester will not recognize the objects with the help of look and feel, but it finds out the object with the help of properties and its values. When we execute a particular test will get a log file and that log file shows recognition failures and warnings.

Object recognition will be divided into two parts, it finds outs the object based on the recognition weights and recognition thresholds. Object detection and object recognition are some of the common computer vision problems which deal with identifying and locating objects of certain classes in the image.

1). How many types of recognition are there in artificial intelligence?
HintThere are three types of recognition are there in artificial intelligence they are content-based image retrieval, biometric identification, and handwriting recognition
2). The vision recognizes the ______
HintThe vision recognizes the activities and also an objects
3). The random variables are of _________ types
HintThe random variables are of three types they are continuous, discrete, and Boolean random variables
4). _________ is an application of document image analysis
HintOptical character recognition is an application of document image analysis
5). _________ is an application of the speech recognition domain
HintTelephone directory assistance is an application of the speech recognition domain
6). What is the standard form of ALPR?
HintThe standard form of ALPR is Automatic License Plate Reader
7). _________ are the components of object recognition system
HintModel database, hypothesizer, feature detector, and hypothesis verifier are the components of an object recognition system
8). The face recognition system used in _____
HintThe Human and computer interface face recognition system used in biometric identification, human and computer interface
9). In a face recognition system the complications occur due to variations in ________
HintIn a face recognition system the complications occur due to variations in facial expressions, pose, illumination, etc
10). What is the standard form of ANPR?
HintThe standard form of ANPR is Automatic Number Plate Recognition
11). The facial recognition uses _______ techniques
HintThe facial recognition uses facial geometry, facial thermogram, skin pattern recognition, and smile techniques
12). Which one is a fingerprint matching technique?
HintBoth pattern matching and minutiae-based matching are fingerprint matching techniques
13). ________ is an application of the medical domain
HintCompute-aided diagnosis is an application of the medical domain
14). ________ is an application of the remote sensing
HintForecasting remote yield is an application of the remote sensing
15). What is the standard form of LPR?
HintThe standard form of LPR is License Plate Recognition
16). What is the standard form of AVI?
HintThe standard form of AVI is Automatic Vehicle Identification
17). What is the standard form of MLPR?
HintThe standard form of MLPR is Mobile License Plate Reader
18). __________ are the applications of an object recognition
HintDriverless cars, medical image processing, monitoring, and surveillance, etc are the applications of an object recognition
19). ________ can be represented by using empirical frequency distributions or histograms
HintColors, textures can be represented by using empirical frequency distributions or histograms
20). For studying object recognition ___________ learning provides a framework
HintFor studying object recognition supervised learning provides a framework
21). How many approaches are there to perform object recognition using deep learning?
HintThere are two approaches are there to perform object recognition using deep learning they are training a model from scratch and using a pre-trained deep learning model
22). The segmentations are of ____ types
HintThe segmentations are of two types they are instance and semantic segmentation
23). __________ are the examples of object detection in real-time
HintTracking objects, people counting, person detection are examples of object detection in real-time
24). __________ are the difficulties in object recognition under varied circumstances
HintLighting, rotation, positioning, mirroring, occlusion, scale is the difficulties in object recognition under varied circumstances
25). _________ are the main tasks in object recognition
HintClassification, tagging, detection, and segmentation are the main tasks in object recognition

Object Recognition MCQs for Quiz

26). What is the standard form of CNN?
HintThe standard form of CNN is Convolutional Neural Network
27). Which one is an instance-based method of object recognition?
HintK-Nearest Neighbor(K-NN) is an instance-based method of object recognition
28). Which one comes under the decision tree learning method of object recognition?
HintRandom forest comes under the decision tree learning method of object recognition
29). Which one comes under the bayesian method of object recognition?
HintBayesian belief network comes under the bayesian method of object recognition
30). What is the standard form of RBF?
HintThe standard form of RBF is Radial Basis Function
31). What is the standard form of LDA?
HintThe standard form of LDA is Linear Discriminant Analysis
32). Which one comes under clustering methods of object recognition?
HintK-means and expectation-maximization both come under clustering methods of object recognition
33). What is the standard form of SOM?
HintThe standard form of SOM is Self Organizing Map
35). __________ comes under artificial neural network
HintPerception, backpropagation, and Hopfield network comes under artificial neural network
36). ________ are the deep learning methods of object recognition
HintRestricted Boltzman machine, deep belief networks, convolutional network, and stacked auto-encoder are the deep learning methods of object recognition
37). What is the standard form of RBM?
HintThe standard form of RBM is Restricted Boltzman Machine
38). What is the standard form of LVQ?
HintThe standard form of LVQ is Linear Vector Quantization
39). What is the standard form of DBN?
HintThe standard form of DBN is Deep Belief Networks
40). What is the standard form of HMM?
HintThe standard form of HMM is Hidden Markov Model
41). Which one is a type of neural network?
HintBayesian networks, linear networks, probabilistic networks all are neural networks
42). How many layers does a linear network have?
HintThe linear networks have two layers they are input layer and output layer
43). _________ are the commonly used predictive data mining methods
HintDecision trees, logistic regression, artificial neural networks, support vector machines, naive Bayes, Bayesian network, and k nearest neighbor are the commonly used predictive data mining methods
44). __________ is an example of local discovering algorithm
HintSemi interleaved HITON PC is an example of the local discovering algorithm
45). _________ are the examples of hybrid structure learning algorithms
HintMax-min hill climbing is an example of hybrid structure learning algorithms
46). ___________ are the example of constraint-based structure learning algorithms
HintGrow shrink is an example of constraint-based structure learning algorithms
47). ___________ are the example of score-based structure learning algorithms
HintHill climbing is an example of score-based structure learning algorithms
48). __________ are the popular inference methods
HintClique tree propagation, variable elimination, and recursive conditioning are the popular inference methods
49). _______ are the Bayesian networks inference
HintParameter learning, structure learning, deducing unobserved variables are the Bayes networks inference
50). __________ are the examples of generative models
HintNaive Bayes classifier is an example of generative models

Object Recognition MCQs for Students

51). __________ are the examples of discriminative models
HintSVM is example of discriminative models
52). ____________ are the typical associative classification methods
HintCBA, CMAR, CPAR are the typical associative classification methods
53). What is the standard form of CMAR?
HintThe standard form of CMAR is Classification Based on Multiple Association Rules
54). What is the standard form of CPAR?
HintThe standard form of CPAR is Classification Based on Predictive Association Rules
55). Which one is a deterministic algorithm?
HintSVM is a deterministic algorithm
56). The neural networks are _________
HintThe neural networks are relatively old, it is a non-deterministic algorithm, and it is very easy to learn
57). The SVM is __________
HintThe SVM is a relatively new concept, it is a deterministic algorithm, and it is hard to learn
58). _________ are the common applications of SVM
HintFace detection, Handwriting recognition, Bioinformatics are the common applications of SVM
59). The mathematical portion used in bioinformatics are ______
HintThe mathematical portion used in bioinformatics are matrices, differentiation/integration, biostatistics, and complex mathematics functions
60). ________ are the properties of SVM
HintDuality, kernels, margin, convexity, sparseness are the properties of SVM
61). Which one is a non-deterministic algorithm?
HintNeural network is a non-deterministic algorithm
62). The genetic algorithm composed of ___________ operators
HintThe genetic algorithm composed of reproduction, mutation, and crossover operators
63). The advantages of genetic algorithms are ______
HintThe genetic algorithms are easy to implement and understand, and good for noisy environments
64). The disadvantages of genetic algorithms are ______
HintThe genetic algorithms are Slower than some other methods, choosing fitness and encoding is difficult, and it takes a long time to find a near-optimal solution
65). The advantages of fuzzy logic are _________
HintThe fuzzy logic are easy to analyze and understand and the cost of fuzzy logic is low
66). The disadvantages of fuzzy logic are _________
HintThe fuzzy logic are complex to design, not stable, and it only provides a crude sizing
67). The advantages of artificial neural network are ________
HintThe artificial neural network are powerful, easy to use, and alter to unknown conditions
68). The disadvantages of artificial neural network are ________
HintIn artificial neural network complexity of network structure is large, difficult to know how many layers and neurons are necessary, and learning can be slow in an artificial neural network
69). The configuration of fuzzy logic consists of _______ modules
HintThe configuration of fuzzy logic consists of a knowledge base, decision-making logic, defuzzification interface, and fuzzification interface modules
70). An artificial intelligence used in _________
HintAn artificial intelligence used in Communication, Transportation, and Integrated applications
71). __________ are the applications of face detection
HintWebcams that tracks the user, Banking using ATM, Biometrics/access control, etc are the applications of face detection
72). What is the standard form of FRCNN?
HintThe standard form of FRCNN is Faster Region Convolutional Neural Network
73). What is the standard form of SSD?
HintThe standard form of SSD is Single Shot Multibox Detector
74). What is the standard form of SVMs?
HintThe standard form of SVMs is Support Vector Machines
75). _______ are the machine learning techniques
HintSVM machine learning model, Bag of words model, Viola jones algorithm are machine learning techniques

Object Recognition MCQs for Interviews

76). What is the standard form of YOLO?
HintThe standard form of YOLO is You Only Look Once
77). Which one is an application of neural networks?
HintData validation, and Risk management both are applications of neural network
78). In __________ the decision nodes are represented
HintIn squares, the decision nodes are represented
79). In __________ the chance nodes are represented
HintIn circles, the chance nodes are represented
80). In __________ the end nodes are represented
HintIn triangles, the end nodes are represented
81). In closed classes _________ objects are available
HintIn closed classes four objects are available they are conjunction, preposition, article, and pronoun
82). In parsing ________ states are available
HintIn parsing three states are available they are goal test, initial test, and successor function
83). Which method deals with a pattern?
HintDecision theoretic method and structure methods deals with a pattern
84). The pattern recognition task consists of __________ steps
HintThe pattern recognition task consists of two steps they are feature selection and matching
85). The classifiers categorized into ______ methods
HintThe classifiers categorized into two methods they are decision-theoretic methods, and structure methods
86). __________ are the structural methods
HintMatching shape numbers, string matching, syntactic method are the structural methods
87). What are the disadvantages of matching shape numbers?
HintIn matching shape numbers color is unable to recognize, and it cannot uses for a hallow structure, and another disadvantage is mirror problem intensity
88). Which is a method of object recognition?
HintDecision tree learning, Bayesian, and Kernel methods all are a method of object recognition
89). The advantages of decision tree regression are _______
HintThe decision tree regression is very easy to interpret or visualize, works on both non-linear and linear problems, and there is no need to do feature scaling
90). The random forest regression are ________
HintThe random forest regression is very powerful & accurate, and the performance is very good for both non-linear and linear problems
91). The SVR _________
HintThe SVR Works very well on non-linear problems, it can be easily adapted, and not biased by outliers
92). The polynomial regression _________
HintThe polynomial regression works on any size of data and also works best for non-linear problems
93). The linear regression _____________
HintThe linear regression works with almost any kind of dataset and gives quite good information about the features
94). The advantages of face detection are ________
HintThe full automation, high accuracy rates, improvement of security level are the advantages of face detection
95). The disadvantages of SVR are ________
HintThe SVR is not a familiar model and it is quite difficult to understand
96). The disadvantages of face detection are ______
HintIn face detection the processing speed is low, Surveillance angle, Image size, and quality are the disadvantages
97). The disadvantages of decision tree regression are _______
HintIn decision tree regression the results on small datasets are poor and overfitting can easily occur in decision tree regression
98). The template matching is sensitive to ______
HintThe template matching is sensitive to noise and occlusions
99). The pixel-level template matching is of _______ type
HintThe pixel-level template matching is of four types they are total templates, partial templates, piece templates, and flexible templates
100). __________ are the template matching applications
Hint3D reconstruction, motion detection, object recognition are the template matching applications

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